Instructions to use hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering 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-internal-testing/tiny-random-Data2VecTextForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 349 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering@refs/pr/1/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering/resolve/refs%2Fpr%2F1/model.safetensors
349 kB
- Xet hash:
- b77374b08dfa1811527a6b493bb5d1fa6ae4b94cc8e69a3d4d9d65a9e6bc997b
- Size of remote file:
- 349 kB
- SHA256:
- 558a686e67ce0319a5d645eee2d7d500c7066048f2fc24419aa28520be218b5a
路
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