Instructions to use laquythang/f28080a9-6491-4a7a-868f-744ab16a0991 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/f28080a9-6491-4a7a-868f-744ab16a0991 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "laquythang/f28080a9-6491-4a7a-868f-744ab16a0991") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a27342acd69f5ec550847461b2f11e2092c59c7f9923dd51e21cc950a67e3298
- Size of remote file:
- 168 MB
- SHA256:
- c80ef4c97ddfe0f57395d919eadfcf5ed1e00fd0ebf579da3c8b48f9ddff85aa
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