Instructions to use harness-hub/LFM3-1.7B-opencode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harness-hub/LFM3-1.7B-opencode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM3-1.7B") model = PeftModel.from_pretrained(base_model, "harness-hub/LFM3-1.7B-opencode") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from harness-hub/LFM3-1.7B-opencode: direct link, hf CLI and curl.
- Browser
- Download file 17.9 MB
-
https://huggingface.co/harness-hub/LFM3-1.7B-opencode/resolve/main/tokenizer.json
- Command line
-
hf download hf://harness-hub/LFM3-1.7B-opencode/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/harness-hub/LFM3-1.7B-opencode/resolve/main/tokenizer.json
17.9 MB
- Xet hash:
- b47d0816fa05402a8e3b414ce7b9b6bd28c928e0a120b590bfb4308d1681c223
- Size of remote file:
- 17.9 MB
- SHA256:
- 41927bd314d17d7d7fadb44e10cd0919f7b71528d7741596d8cbd15c6945ec44
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