Instructions to use JonusNattapong/lfm3-coding-tool-use-v4.2-pilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JonusNattapong/lfm3-coding-tool-use-v4.2-pilot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JonusNattapong/LFM3-Omni-2B-abliterated") model = PeftModel.from_pretrained(base_model, "JonusNattapong/lfm3-coding-tool-use-v4.2-pilot") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JonusNattapong/lfm3-coding-tool-use-v4.2-pilot: direct link, hf CLI and curl.
- Browser
- Download file 17.9 MB
-
https://huggingface.co/JonusNattapong/lfm3-coding-tool-use-v4.2-pilot/resolve/main/tokenizer.json
- Command line
-
hf download hf://JonusNattapong/lfm3-coding-tool-use-v4.2-pilot/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JonusNattapong/lfm3-coding-tool-use-v4.2-pilot/resolve/main/tokenizer.json
17.9 MB
- Xet hash:
- 504b3db9972bd070878fe531b9e5c38e1f21b9495cd2dd9e0faa8e22ab3d30cb
- Size of remote file:
- 17.9 MB
- SHA256:
- 77bc6320123c61a0150f5f7a5d96b1e06c8512943bb020610a2ff5abe6d06cd1
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