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:
- 9c43f08ead7ce0dd870ff9f9d8288bd958c390a8c65c7f19c5542c2a636d6c35
- Size of remote file:
- 2.37 MB
- SHA256:
- 487c17fecda310866c30a6c91fb15c57512e3b23755a4478b4398ff070872606
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