Instructions to use Benjaminpwh/sst-en_it_4_sm4t_medium_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/sst-en_it_4_sm4t_medium_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Benjaminpwh/sst-en_it_4_sm4t_medium_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Benjaminpwh/sst-en_it_4_sm4t_medium_lora: direct link, hf CLI and curl.
- Browser
- Download file 31.9 MB
-
https://huggingface.co/Benjaminpwh/sst-en_it_4_sm4t_medium_lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://Benjaminpwh/sst-en_it_4_sm4t_medium_lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Benjaminpwh/sst-en_it_4_sm4t_medium_lora/resolve/main/tokenizer.json
31.9 MB
- Xet hash:
- 7f36e56d499195b3c79c83122748b830b3963f325f9ff76881a02f6ce1bc43bb
- Size of remote file:
- 31.9 MB
- SHA256:
- 1b304a1bd353227b865490d83d16f28b6a6ce4be60607dd021f359e118063deb
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