Instructions to use dmis-lab/biobert-large-cased-v1.1-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/biobert-large-cased-v1.1-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="dmis-lab/biobert-large-cased-v1.1-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-large-cased-v1.1-squad") model = AutoModelForQuestionAnswering.from_pretrained("dmis-lab/biobert-large-cased-v1.1-squad", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): fb8c542
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:bb0385e0f7ca3fdd1a74831c7e2cfc608891a6b74249b1e99ece611c0f051b96
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size 1453020828
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