Instructions to use apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7 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, "apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7") - Notebooks
- Google Colab
- Kaggle
File size: 51 Bytes
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