Instructions to use FirstPotatoCoder/Lisa-162 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Lisa-162 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "FirstPotatoCoder/Lisa-162") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d2b4c512ad27354e702cbe42bdc7d7d32c02d1e55eb3479870841f73e17265f
- Size of remote file:
- 517 MB
- SHA256:
- 09d80921c4f61d444ebfa84d96a5538dc2963c402638615b245c86da73cb2590
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