Instructions to use Lduignan1/croissantllm_alector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Lduignan1/croissantllm_alector with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("croissantllm/CroissantLLMChat-v0.1") model = PeftModel.from_pretrained(base_model, "Lduignan1/croissantllm_alector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a13fc1b8c980e15d425ce2b4c21f8b6d79e26e0c655f2f00e287301033e153c9
- Size of remote file:
- 4.98 kB
- SHA256:
- 516ba8328b4600e79eebd828f54073f7dd0e8db61b667ddcf2996777c2c3ebd3
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