Instructions to use romankovsv/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romankovsv/test2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3") model = PeftModel.from_pretrained(base_model, "romankovsv/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edee86b29789490c3fde77b5c21bbdb7ffdef0b863c7531692857cf723e19f1e
- Size of remote file:
- 8.43 MB
- SHA256:
- 2981494a518482cda48a3b955ab7e7908e3a9e8515304cec0942a943c342d561
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