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 pytorch_model.bin from ydshieh/tiny-random-DebertaForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 361 kB
-
https://huggingface.co/ydshieh/tiny-random-DebertaForQuestionAnswering/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://ydshieh/tiny-random-DebertaForQuestionAnswering@refs/pr/2/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/ydshieh/tiny-random-DebertaForQuestionAnswering/resolve/refs%2Fpr%2F2/pytorch_model.bin
361 kB
- Xet hash:
- 1f5b3245de2e8059bd2d4be8c34e1b9aa9488f6bc91e8fcdd11ecba8e37621f5
- Size of remote file:
- 361 kB
- SHA256:
- a5693adc9df22f1a48ad5069ea51972c1a8ea79cc0bb7d2ff993b34e16e3f099
路
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