Instructions to use vocab-transformers/dense_encoder-distilbert-frozen_emb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vocab-transformers/dense_encoder-distilbert-frozen_emb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vocab-transformers/dense_encoder-distilbert-frozen_emb")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vocab-transformers/dense_encoder-distilbert-frozen_emb") model = AutoModel.from_pretrained("vocab-transformers/dense_encoder-distilbert-frozen_emb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a20c376cd83c9fe906f2cea2a7b89698a54065491bd5806afc455e4ce958139d
- Size of remote file:
- 265 MB
- SHA256:
- 26ee5ca26c85a6d6fd27c5e37be2b28d1684f3731fd2e379fd29f89a1c9cf707
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