Instructions to use eeeebbb2/5098e4ea-3baa-466f-a147-7f46b679f708 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5098e4ea-3baa-466f-a147-7f46b679f708 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Artples/L-MChat-7b") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5098e4ea-3baa-466f-a147-7f46b679f708") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94c738fea56cdafd7fe3832ace1f2b1ef890b64551ef422245947090691395c0
- Size of remote file:
- 336 MB
- SHA256:
- 0e1e22a7c24473ae2ce03415b098f515aeed520202a76c93116fabb734bf0b47
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