Instructions to use thalllsssss/9274a9c2-992b-42b3-8842-ede5e83adb19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/9274a9c2-992b-42b3-8842-ede5e83adb19 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/GPT4-x-Vicuna-13b-fp16") model = PeftModel.from_pretrained(base_model, "thalllsssss/9274a9c2-992b-42b3-8842-ede5e83adb19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e0a011705a5339dac427a17153e0acbf4814ba0fafb276b9109f75b21b334e1
- Size of remote file:
- 125 MB
- SHA256:
- d1f09932f795f9ac8c7d4417fa5c1d432eaca0c8e77a5acfe0f1576b878673c0
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