Instructions to use anakin87/LFM2-2.6B-ttt-rl 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 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("anakin87/lfm-2.6-ttt-sft") model = PeftModel.from_pretrained(base_model, "anakin87/LFM2-2.6B-ttt-rl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cdd3ad886f7c4b7ccb04724f35fd843c08a2f4778e89ed19bb2dd01c998447a
- Size of remote file:
- 8.47 kB
- SHA256:
- ce97b74d285f4da0f9c0d588b42bf5e23a089981f33d3c871fcf13f69756077f
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