39 from .arrow_writer import ArrowWriter, BeamWriter Hi @Wauplin thanks for replying! Although the pipeline is great for most applications where you need to quickly generate predictions, sometimes youll need to access the models logits (say, if you have some custom post-processing that youd like to apply). You can also create and share your own models, datasets and demos with the community. In-browser widgets to play with the uploaded models. AttributeError: module 'huggingface_hub' has no attribute 'hf_api 1053 full_backward_hooks, non_full_backward_hooks = [], [] Discover pre-trained models and datasets for your projects or play with the thousands of machine learning apps hosted on the Hub. Make sure that: Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing, There is a reported bug in AutoTokenizer that isn't present in the underlying classes, such as. Upgrade transformers package work for me. privacy statement. This line worked out: !pip install huggingface_hub Next, I wanted to write a json-file, which worked out, too: import json The user must be part of the organization and have write or admin rights in the organization. to your account. You signed out in another tab or window. The user must be part of the organization and have write or admin rights in the organization. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/zerocool/anaconda3/envs/diffusers/lib/python3.9/site-packages/transformers/utils/hub.py", line 408, in cached_file resolved_file = hf_hub_download( File "/home/zerocool/anaconda3/envs/diffusers/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1053, in hf_hub_download metadata = get_hf_file_metadata( File "/home/zerocool/anaconda3/envs/diffusers/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1359, in get_hf_file_metadata hf_raise_for_status(r) File "/home/zerocool/anaconda3/envs/diffusers/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 242, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from ehuggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error. How to download model from huggingface? - Stack Overflow The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. Released: Jul 7, 2023 Client library to download and publish models, datasets and other repos on the huggingface.co hub Project description The official Python client for the Huggingface Hub. /var/folders/28/k4cy5q7s2hs92xq7_h89_vgm0000gn/T/ipykernel_75743/2725838073.py in when loading modified tokenizer or pretrained tokenizer you should load it as follows: tokenizer = AutoTokenizer.from_pretrained(path_to_json_file_of_tokenizer, config=AutoConfig.from_pretrained('path to thefolderthat contains the config file of the model')). But yes, we have downgraded huggingface_hub to 0.10.0 and it is working fine for us. New! The text was updated successfully, but these errors were encountered: Your colleague shoots you a message like: Gday! >>> from huggingface_hub import create_repo >>> create_repo ( "lysandre/test-private", private= True) If you want to change the repository visibility at a later time, you can use the update_repo_visibility () function. For reference, see the rules defined in the Huggingface docs. 2. You can also check out our Model Cards guide to get a feel for how you would use these utilities in your own projects. Documentation: https://hf.co/docs/huggingface_hub, Source Code: https://github.com/huggingface/huggingface_hub. yanked, 0.9.0.dev0 But why would I expect anything else? 2023 Python Software Foundation privacy statement. 474 elif inputs_embeds is not None: Have a question about this project? When I tried putting the URL from the extensions tab, it says "repository not found". () Recall from Chapter 2 that the AutoModelForXxx classes in Transformers operate on tensors (either in PyTorch or TensorFlow), and a common operation is to extract the dimensions of a tensor using Tensor.size() in, say, PyTorch. ----> 1 from datasets import load_dataset, venv/lib/python3.8/site-packages/datasets/init.py:39, in pre-release, 0.0.3rc1 To see all available qualifiers, see our documentation. Donate today! Sign in For layoutlm_v3 finetune datasets-2.3.2 evaluate-0.1.2 huggingface-hub-0.8.1 responses-0.18.0 tokenizers-0.12.1 transformers-4.12.5. No wonder our pipeline couldnt load the model; our colleague must have forgotten to push this file to the Hub after they fine-tuned it. 1050 or _global_forward_hooks or _global_forward_pre_hooks): pre-release, 0.12.0rc0 Why is {ni} used instead of {wo} in ~{ni}[]{ataru}? ~/miniconda3/envs/huggingface/lib/python3.8/site-packages/transformers/models/distilbert/modeling_distilbert.py in forward(self, input_ids, attention_mask, head_mask, inputs_embeds, start_positions, end_positions, output_attentions, output_hidden_states, return_dict) 40 from .combine import interleave_datasets 293 raise FileNotFoundError(f"The directory at {base_path} doesn't contain any data file") from None and it works ( which gives datasets direct access to huggingface_hub.hf_api ). I am trying to spin up an interface endpoint for it, to provide my community with faster response times and better uptime. I'm unsure why this is a problem, but I started getting it recently when using Google Colab. I'm not familiar with conda or with this specific package, but this command seems to install huggingface_hub, which is already correctly installed on the machine of the OP. Repository Not Found Error when using custom dataset to train model on You must be part of the organization, and have admin rights in the organization. Are you trying to customize inference. If the repo is private, make sure you are authenticated. So I doubt this would work, but maybe this does something "magic", in case an explanation would be really useful. 421 I have SourceTree with local working copy. """, r""" 5 answer_end_scores = outputs.end_logits We read every piece of feedback, and take your input very seriously. HuggingFace - 'optimum' ModuleNotFoundError Ask Question Asked NLP 0 I want to run the 3 code snippets from this webpage. More details in this guide. pre-release, 0.9.0rc3 I'm not sure what that means. However, a search like this wont always yield a relevant answer, so what can you do in such cases? Also CPUs are not a good for Stable diffusion models neither in size nor performance. rev2023.7.27.43548. For testing you can use the inference-api which is free through the inference widgets or programmatically. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. The first thing to note is that tracebacks should be read from bottom to top. Repository Not Found for url: https://huggingface.co/CompVis/stable-diffusion-v1-4/resolve/main/tokenizer/vocab.json. 38 ) huggingface (ConnectionError) --> 473 input_shape = input_ids.size() I changed lines around Line 125 in __init__.py of huggingface_hub to something like. I change the evaluation_loop using evaluate package to save predict result to disk. How to handle repondents mistakes in skip questions? In this case, the problem seems pretty straightforward to fix: we could ask them to add the file, or, since we can see from the model ID that the pretrained model used was distilbert-base-uncased, we can download the config for this model and push it to our repo to see if that resolves the problem. Have a question about this project? Visit the dedicated documentation page for a deeper view of what Model Cards on the Hub are, and how they work under the hood. 3 Answers. Unauthorized - Unauthorized" Already on GitHub? In the context of run_language_modeling.py the usage of AutoTokenizer is buggy (or at least leaky). 0.16.1 Where is the download button for Huggingface Models? RepositoryNotFoundError when saving to Huggingface, Fix save_to_hub for last huggingface_hub version. Lets recap what youve just learned: Now that you know how to debug a pipeline, lets take a look at a trickier example in the forward pass of the model itself. @josephsachdeva actually the problem is already fixed in sentence_transformers. Reload to refresh your session. Error 401 Client Error: Unauthorized for url - Hub - Hugging Face python -m pip install huggingface_hub huggingface-cli login. This might sound weird if youre used to reading English text from top to bottom, but it reflects the fact that the traceback shows the sequence of function calls that the pipeline makes when downloading the model and tokenizer. Now lets try to download the model again with the correct model ID: Argh, foiled again welcome to the daily life of a machine learning engineer! pre-release, 0.8.0rc2 yanked, 0.8.0rc4 "PyPI", "Python Package Index", and the blocks logos are registered trademarks of the Python Software Foundation. This also worked. 300 ) -> List[PurePath]: To do so, first log in by running either the following in a Jupyter notebook: from huggingface_hub import notebook_login notebook_login () or the following in your favorite terminal: huggingface-cli login This will prompt you to enter your username and password, and will save a token under ~/.cache/huggingface/. Kernel: conda_pytorch_p36 Installations: pip install optimum OR To see all available qualifiers, see our documentation. So, to download a model, all you have to do is run the code that is provided in the model card (I chose the corresponding model card for bert-base-uncased).. At the top right of the page you can find a button called "Use in Transformers", which even gives you the sample code, showing you how to use it in Python. As the error message says:"If this is a private repository, make sure to pass a token having permission to this repo with use_auth_token or log in with huggingface-cli login and pass use_auth_token=True. By clicking Sign up for GitHub, you agree to our terms of service and Feel free to test it out :). pre-release, 0.10.0rc0 If you would like to fine-tune a I was getting the same issue. "Who you don't know their name" vs "Whose name you don't know". The text was updated successfully, but these errors were encountered: Unfortunately, I'm not able to reproduce your problem. Feel free to use. 723 return_dict = return_dict if return_dict is not None else self.config.use_return_dict Raw metric.py import evaluate In this section well look at some common errors that can occur when youre trying to generate predictions from your freshly tuned Transformer model. That does not strip the datasets prefix of HF datasets repos. 2 x 2 = 4 or 2 + 2 = 4 as an evident fact? I'm sorry I can't reproduce your problem. to your account, Followed the readme, but I end up with the following error when I run check.py. Already on GitHub? I've made all 3 one post, as I am assuming it all stems from the same problem of optimum not having been imported correctly? pre-release. Huggingface AutoTokenizer can't load from local path In real life, wed want to check with them first, but for the purposes of this section well assume they used the default configuration. pre-release, 0.6.0rc0 You can disable all discussions and Pull Requests. Powered by Discourse, best viewed with JavaScript enabled, No custom pipeline found at /repository/handler.py. 292 except FileNotFoundError: Repository can't be used with datasets repositories anymore #144 - GitHub Transferring a repository from user A to user B. Well occasionally send you account related emails. pre-release To handle the training loop I'm using the Transformers Trainer, so first I need to define the training attributes using the TrainingArguments c. ----> 3 outputs = model(**inputs) pre-release 34 ArrowReader, To see all available qualifiers, see our documentation. To see all available qualifiers, see our documentation. No that's not a bug, the method tries to detect if a more recent version of the model is available, which is why it connects to the repo. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 299 allowed_extensions: Optional[list] = None, """, """ You can add import os os.environ ['TRANSFORMERS_OFFLINE'] = 'yes' Quoting sgugger from here. I just opened a PR to fix this :). But yes, we have downgraded huggingface_hub to 0.10.0 and it is working fine for us. 38 from .arrow_reader import ReadInstruction Documentation: https://hf.co/docs/huggingface_hub Source Code: https://github.com/huggingface/huggingface_hub Welcome to the huggingface_hub library Hi, I have the same issue, did you address it yet? By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. I have a stable diffusion 1.5 model hosted on huggingFace. I got this following error. The workaround here is to import REPO_ID_SEPARATOR from the constants module: Otherwise, you can temporarily pin huggingface_hub version to ==0.10 in a hot-fix, while you update the code in parallel. The user must have admin rights in the source organization. huggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error. Lets take another look at the traceback, to see which line triggered the exception: It looks like our code tried to call input_ids.size(), but this clearly wont work for a Python list, which is just a container. You switched accounts on another tab or window. Is it possible the small and medium CPUs arent enough? See related issue UKPLab/sentence-transformers#1599 (comment). By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. privacy statement. huggingface package usage GitHub 37 ReadInstruction,

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