Instructions to use Prience91/Unsloth_LoRA_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prience91/Unsloth_LoRA_adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prience91/Unsloth_LoRA_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Prience91/Unsloth_LoRA_adapter: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/Prience91/Unsloth_LoRA_adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://Prience91/Unsloth_LoRA_adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Prience91/Unsloth_LoRA_adapter/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 31e54fe18491af1cd61eaab0fb8c2e115e196eb6837bf76204b92fb46702f7c1
- Size of remote file:
- 33.4 MB
- SHA256:
- a6c776bcef3fcea90b4244ef4dafa43ec828ea9f23a286a5be6bd3c209efe810
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