Instructions to use romankovsv/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romankovsv/test3 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/test3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab18b7182d5844984718e389f74639c524d3caf763a855b722edc1db814844ed
- Size of remote file:
- 8.43 MB
- SHA256:
- 67943b5229cc88a1b713460a4d0111686dac1730e15eb679c6897a9eb9649e26
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