Instructions to use ydshieh/tiny-random-DebertaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-DebertaForQuestionAnswering 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="ydshieh/tiny-random-DebertaForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-DebertaForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("ydshieh/tiny-random-DebertaForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from ydshieh/tiny-random-DebertaForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 442 kB
-
https://huggingface.co/ydshieh/tiny-random-DebertaForQuestionAnswering/resolve/main/tf_model.h5
- Command line
-
hf download hf://ydshieh/tiny-random-DebertaForQuestionAnswering/tf_model.h5
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curl -L -o tf_model.h5 https://huggingface.co/ydshieh/tiny-random-DebertaForQuestionAnswering/resolve/main/tf_model.h5
442 kB
- Xet hash:
- 6463adda4dbbe0d2093c85b4a7eb027fa8c48a8cae4295af807a129f7745379d
- Size of remote file:
- 442 kB
- SHA256:
- 5b0a147de60bd30e63e2abdd8e9961cca5e10378ec799b98b57f49212aab7631
路
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