Instructions to use nhungphammmmm/6c299899-b293-49ab-8592-18aed9272577 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/6c299899-b293-49ab-8592-18aed9272577 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, "nhungphammmmm/6c299899-b293-49ab-8592-18aed9272577") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dba643af797a23098087947556a0e75cfce20db7d8c36d4d9f8328f43d81d09
- Size of remote file:
- 6.78 kB
- SHA256:
- eb4b7089bfe089296552906274a131d272085cb130c9e85ecc8bf719732d4776
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