Instructions to use Werea-co/Werea-LLM-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Werea-co/Werea-LLM-3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Werea-co/Werea-LLM-3B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Werea-co/Werea-LLM-3B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Werea-co/Werea-LLM-3B/resolve/main/tokenizer.json
- Command line
-
hf download hf://Werea-co/Werea-LLM-3B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Werea-co/Werea-LLM-3B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 7ab8f7bd13c880f966c8ff72ad4d19d5966d646a74233cde40498cc63de13b25
- Size of remote file:
- 11.4 MB
- SHA256:
- 2f55e63353d3d978b390d346bae531be8b83bc9532c0be500d62b7253aa4c595
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