Instructions to use Billyyy/llama-mn-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Billyyy/llama-mn-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Billyyy/llama-mn-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Billyyy/llama-mn-lora: direct link, hf CLI and curl.
- Browser
- Download file 23.4 MB
-
https://huggingface.co/Billyyy/llama-mn-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://Billyyy/llama-mn-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Billyyy/llama-mn-lora/resolve/main/tokenizer.json
23.4 MB
- Xet hash:
- 87509e019ea2ab7431adde244d17b89695a3966c6f7facb4a7cb7215d0fb7b3d
- Size of remote file:
- 23.4 MB
- SHA256:
- 95294ec99eab313a4646e4d8eda5add03e4423c405824cf59770c8e175fd0e96
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