Instructions to use anakin87/LFM2-2.6B-ttt-rl-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anakin87/LFM2-2.6B-ttt-rl-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("anakin87/mr-ttt-snk5-merged") model = PeftModel.from_pretrained(base_model, "anakin87/LFM2-2.6B-ttt-rl-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f20a8fc883ba78b7617dfe90538186e5f26cfd7663571f147d2cd068e8418fd
- Size of remote file:
- 2.37 MB
- SHA256:
- d6f2339cb8610c021628ebbf3ac992be4ae8229c73bcb375e5e135c40707f49f
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