Instructions to use albertan017/hashencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertan017/hashencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="albertan017/hashencoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("albertan017/hashencoder") model = AutoModel.from_pretrained("albertan017/hashencoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9ebc9f35d0bc9b2945bfeedc2cffb06efafdc56e5442b3948f3ae95a00764f0
- Size of remote file:
- 739 MB
- SHA256:
- aca29823b7ab66137edc1cfc4887d29e02296233f36b31815a91166d734dbfb4
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