Instructions to use binwang/bert-large-nli-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/bert-large-nli-stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="binwang/bert-large-nli-stsb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("binwang/bert-large-nli-stsb") model = AutoModelForMaskedLM.from_pretrained("binwang/bert-large-nli-stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9b4692a
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:bf9e38a8f0992fb06ab4f717f229131585ef0ad62b79876f360baa874edc8094
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size 1340711929
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