Instructions to use GeneZC/bert-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-mnli with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-mnli") model = BertCls.from_pretrained("GeneZC/bert-large-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d7fde5155d003638df3bbf3f1c709b32c26fbc0d8e2f4ae57fe479fe7989afc
- Size of remote file:
- 1.34 GB
- SHA256:
- 1f040b5cbea5166a10248baa1f7fc88e197377ac47b723ea36aae88dda949559
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.