Instructions to use binwang/bert-base-nli-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/bert-base-nli-stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="binwang/bert-base-nli-stsb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("binwang/bert-base-nli-stsb") model = AutoModelForMaskedLM.from_pretrained("binwang/bert-base-nli-stsb") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
73d7723 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:11948f21e519851454beee7ec8a5c258071c2986eff47630dc575e291d042bed
size 437973984
|