Instructions to use Palak/microsoft_deberta-large_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Palak/microsoft_deberta-large_squad 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="Palak/microsoft_deberta-large_squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Palak/microsoft_deberta-large_squad") model = AutoModelForQuestionAnswering.from_pretrained("Palak/microsoft_deberta-large_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Palak/microsoft_deberta-large_squad: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/Palak/microsoft_deberta-large_squad/resolve/main/training_args.bin
- Command line
-
hf download hf://Palak/microsoft_deberta-large_squad/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Palak/microsoft_deberta-large_squad/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- 5a192130e41146977d9243a6283c59f1a33146b784dd1bc9626eecb0eaf27680
- Size of remote file:
- 2.93 kB
- SHA256:
- 0140c9b640ab2aabcdf79912c154a0768fa347bf89cba19df008dccf8b2bce6a
路
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