Instructions to use nikotang/span-nli-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikotang/span-nli-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikotang/span-nli-bert-base")# Load model directly from transformers import AutoTokenizer, BertForIdentificationClassification tokenizer = AutoTokenizer.from_pretrained("nikotang/span-nli-bert-base") model = BertForIdentificationClassification.from_pretrained("nikotang/span-nli-bert-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3698c750f1beadc87d6938ff5074d72c3fbaa17def6180506c3c815cd4da3d1
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size 437975316
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