Instructions to use hf-tiny-model-private/tiny-random-YosoForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-YosoForQuestionAnswering 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="hf-tiny-model-private/tiny-random-YosoForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-YosoForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-YosoForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-YosoForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 367 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-YosoForQuestionAnswering/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-YosoForQuestionAnswering/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-YosoForQuestionAnswering/resolve/main/pytorch_model.bin
367 kB
- Xet hash:
- aee2b7c0a989977c672f7e46441c940df3c0f5f37577f9ae59b5c8258bd60f9f
- Size of remote file:
- 367 kB
- SHA256:
- 7004a576a7fba47ae792b8302b1a703ad48f606ef9d862aa300b1c097e516041
路
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