Instructions to use chauhoang/7a350c97-86f1-2489-eb69-5c501cb910b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/7a350c97-86f1-2489-eb69-5c501cb910b8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "chauhoang/7a350c97-86f1-2489-eb69-5c501cb910b8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d460c43663bbfff67dca254d43095b205b02f599a9d926976c16ef30afc8c9f
- Size of remote file:
- 25.3 MB
- SHA256:
- f66f470a482afb6129c5e93c2c53f0815a0a631d253c1faa41c79093e2a08176
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