Instructions to use ahotrod/albert_xxlargev1_squad2_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahotrod/albert_xxlargev1_squad2_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ahotrod/albert_xxlargev1_squad2_512")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ahotrod/albert_xxlargev1_squad2_512") model = AutoModelForQuestionAnswering.from_pretrained("ahotrod/albert_xxlargev1_squad2_512") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e2f14969aaeaedbf9fcc060557ac45abac7e72c22b7763a2813ec1c593ae6bf
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size 1903
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