Instructions to use khanhbk20/mrc_testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanhbk20/mrc_testing 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="khanhbk20/mrc_testing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("khanhbk20/mrc_testing") model = AutoModelForQuestionAnswering.from_pretrained("khanhbk20/mrc_testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from khanhbk20/mrc_testing: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/khanhbk20/mrc_testing/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://khanhbk20/mrc_testing/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/khanhbk20/mrc_testing/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- dc7452542bdddd9609b7053c24f6dbcddf44e7fc8e7e80f5d78330df00ad23f9
- Size of remote file:
- 1.11 GB
- SHA256:
- 845dd7233bdc866b4038ccdaa6fedff2cfe533fc64d7ef607757ac2d5ad5d5d8
路
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