Instructions to use AntoineD/camembert_question_answering_tools_fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AntoineD/camembert_question_answering_tools_fr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="AntoineD/camembert_question_answering_tools_fr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AntoineD/camembert_question_answering_tools_fr") model = AutoModelForQuestionAnswering.from_pretrained("AntoineD/camembert_question_answering_tools_fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AntoineD/camembert_question_answering_tools_fr: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/AntoineD/camembert_question_answering_tools_fr/resolve/0e62117e9d1d815cc64bf8ae52835e9606dcaecf/pytorch_model.bin
- Command line
-
hf download hf://AntoineD/camembert_question_answering_tools_fr@0e62117e9d1d815cc64bf8ae52835e9606dcaecf/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AntoineD/camembert_question_answering_tools_fr/resolve/0e62117e9d1d815cc64bf8ae52835e9606dcaecf/pytorch_model.bin
440 MB
- Xet hash:
- 940a6f4eb96dc0da41cf9ae15c78311d96b4b500e4f013629507cc7dbbfabcd8
- Size of remote file:
- 440 MB
- SHA256:
- 259626d60ac8ae5e002bffd5900497a35a1df557c6d2ab683befee7f8473bbe3
路
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