Instructions to use amoux/scibert_nli_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amoux/scibert_nli_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amoux/scibert_nli_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amoux/scibert_nli_squad") model = AutoModelForQuestionAnswering.from_pretrained("amoux/scibert_nli_squad") - Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): ce43fe6
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d6f63a11dbee842d64260eef331b8af31e1c8a83d71abb82a9515c8712131a4
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size 437404654
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