Instructions to use AnonymousSub/bert_snips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/bert_snips with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/bert_snips")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/bert_snips") model = AutoModel.from_pretrained("AnonymousSub/bert_snips") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc63030d9d69f2f611dc489fef038be7f63172ae99a63551ef9127c59cee6211
- Size of remote file:
- 438 MB
- SHA256:
- 3058e0d755dcca7c65ee39892a290de10472e5a298787119a3f9b657cce1a76e
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