Instructions to use luonluonvn/small100_ct2_quant_int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luonluonvn/small100_ct2_quant_int8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("luonluonvn/small100_ct2_quant_int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from luonluonvn/small100_ct2_quant_int8: direct link, hf CLI and curl.
- Browser
- Download file 339 MB
-
https://huggingface.co/luonluonvn/small100_ct2_quant_int8/resolve/main/model.bin
- Command line
-
hf download hf://luonluonvn/small100_ct2_quant_int8/model.bin
-
curl -L -o model.bin https://huggingface.co/luonluonvn/small100_ct2_quant_int8/resolve/main/model.bin
339 MB
- Xet hash:
- 22d5b35afe634a0df48865ee1d24222837df0b20434e28a56df6f2fe76b73f39
- Size of remote file:
- 339 MB
- SHA256:
- a22a8a8dbdba9c691d660f17aab8db72ca4c933858db6bc799ef7b6ddea553f9
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