Instructions to use efederici/gte-small-int8-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efederici/gte-small-int8-dynamic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/gte-small-int8-dynamic") model = AutoModel.from_pretrained("efederici/gte-small-int8-dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72e0b805cab6bc8dab584594505acae3f3d45a052fc05a52e511d9c0171d1955
- Size of remote file:
- 34.7 MB
- SHA256:
- ad6e452481bd1d7503deadf04af614c2a289f616fc751dca920827895583d823
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