Instructions to use howey/bert_base_uncased_squad_L3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/bert_base_uncased_squad_L3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="howey/bert_base_uncased_squad_L3")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("howey/bert_base_uncased_squad_L3") model = AutoModelForQuestionAnswering.from_pretrained("howey/bert_base_uncased_squad_L3") - Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): 5107c5a
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:c389ee0be39a66ef73f871c94158bc06b544bc1ad8f4f58b90dff0dacc71a5ce
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size 180411380
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