Instructions to use sinos11/qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinos11/qa_model 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="sinos11/qa_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sinos11/qa_model") model = AutoModelForQuestionAnswering.from_pretrained("sinos11/qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sinos11/qa_model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/sinos11/qa_model/resolve/main/training_args.bin
- Command line
-
hf download hf://sinos11/qa_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sinos11/qa_model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- dd706eee3475031c120e4ef376e0f00bf59a3dcae4371f142f72490ab02614e0
- Size of remote file:
- 5.11 kB
- SHA256:
- 8dbde39a291d0fc55cd9a8fa510c69cbc15f5be33a2e2a72ce8e016c81b531c0
路
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