Instructions to use map-boy/sabyinyo-v02-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use map-boy/sabyinyo-v02-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("map-boy/sabyinyo-v02-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from map-boy/sabyinyo-v02-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/map-boy/sabyinyo-v02-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://map-boy/sabyinyo-v02-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/map-boy/sabyinyo-v02-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b05e31d4fe09e045c9fd5fe7dd49dc7e70d965f72d79907caa0695ba5f97a4cc
- Size of remote file:
- 11.4 MB
- SHA256:
- 3a531102290c84b74a28ef99fed65fa8873977e31b8283bafc86c1cd66a841eb
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