Instructions to use efederici/gte-large-int8-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efederici/gte-large-int8-dynamic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/gte-large-int8-dynamic") model = AutoModel.from_pretrained("efederici/gte-large-int8-dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from efederici/gte-large-int8-dynamic: direct link, hf CLI and curl.
- Browser
- Download file 340 MB
-
https://huggingface.co/efederici/gte-large-int8-dynamic/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://efederici/gte-large-int8-dynamic/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/efederici/gte-large-int8-dynamic/resolve/main/pytorch_model.bin
340 MB
- Xet hash:
- 604733a413e04b9ce3d4cc1b30fec4c8826148c172e187ac78415ba85ee507f3
- Size of remote file:
- 340 MB
- SHA256:
- 4edba111cd0b0df1e47d7587c87a7dfa913f1f327110b0d4bb7be413aee6d1cd
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