Instructions to use binwang/bert-base-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/bert-base-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="binwang/bert-base-nli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("binwang/bert-base-nli") model = AutoModelForMaskedLM.from_pretrained("binwang/bert-base-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from binwang/bert-base-nli: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/binwang/bert-base-nli/resolve/main/.gitattributes
- Command line
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hf download hf://binwang/bert-base-nli/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/binwang/bert-base-nli/resolve/main/.gitattributes
391 Bytes
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