Instructions to use mrHunghddddd/7acfa55c-db4d-49a3-9cda-54cac74d5a3e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/7acfa55c-db4d-49a3-9cda-54cac74d5a3e 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, "mrHunghddddd/7acfa55c-db4d-49a3-9cda-54cac74d5a3e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a32de8304845bee3f8184b851e0eb9646b7e3319cb0da1b47ef518e7838d4d3
- Size of remote file:
- 125 MB
- SHA256:
- 7236abc9fc966f14d3288371b4afd8f85d80479924eecfdafe721683a11cf86d
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