Instructions to use pinecone/bert-reader-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinecone/bert-reader-squad2 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="pinecone/bert-reader-squad2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("pinecone/bert-reader-squad2") model = AutoModelForQuestionAnswering.from_pretrained("pinecone/bert-reader-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pinecone/bert-reader-squad2: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/pinecone/bert-reader-squad2/resolve/main/training_args.bin
- Command line
-
hf download hf://pinecone/bert-reader-squad2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pinecone/bert-reader-squad2/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- ed7771b5d8f2dfb08de67bf8f54313ce9b131ff06229cfcd0bfbbbee877bf0b3
- Size of remote file:
- 2.86 kB
- SHA256:
- 10df51110260e8f13d920d8e138233230b79e68c1c1dc91497e3c45eab340d4a
路
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