Instructions to use romankovsv/test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romankovsv/test4 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/test4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e84d2752826c87a636efc993b85bf86898451a255b5b3b7d8afa91cb72fa6c95
- Size of remote file:
- 8.43 MB
- SHA256:
- c56aa7fa9127839998e231f0d6d95f899ca627867b36ad753066bc293f74d41f
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