Instructions to use cunghoctienganh/e3b50d16-0c41-42fb-9631-0042312b185d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/e3b50d16-0c41-42fb-9631-0042312b185d 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, "cunghoctienganh/e3b50d16-0c41-42fb-9631-0042312b185d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1768d8d452151442155ca79ab0cb810bb5b56470ad9fb788ad924c1f99237bc1
- Size of remote file:
- 125 MB
- SHA256:
- 3c74588f06ff5ae2c5c63c7d53c615942e01272d8c1cf1cf22b5b76a25793ff1
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