Instructions to use badalsahani/oneAPI_roberta_QA_Model_kaggle_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badalsahani/oneAPI_roberta_QA_Model_kaggle_2 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="badalsahani/oneAPI_roberta_QA_Model_kaggle_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badalsahani/oneAPI_roberta_QA_Model_kaggle_2") model = AutoModelForQuestionAnswering.from_pretrained("badalsahani/oneAPI_roberta_QA_Model_kaggle_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from badalsahani/oneAPI_roberta_QA_Model_kaggle_2: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/badalsahani/oneAPI_roberta_QA_Model_kaggle_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://badalsahani/oneAPI_roberta_QA_Model_kaggle_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/badalsahani/oneAPI_roberta_QA_Model_kaggle_2/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- eaffbf6adf328875691a4d52994ac03811737ac3e727942d6e4a1e5812767aa2
- Size of remote file:
- 496 MB
- SHA256:
- e9b9ef284e9cd46344cee4869d34d6a449a1c9a3f99d127b23c21b9fa81571e8
路
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