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:
- fc5a6e85f4ad6e46f24fcdab0cf4d822b63711aa8bf86a08019b3a96199d1573
- Size of remote file:
- 8.47 kB
- SHA256:
- cb201cfe1c179a1f623e58c1475af8f24d0f6be605027e562b799a798ae2878d
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