Instructions to use bbytxt/be6356f1-a474-49a1-b416-9c1aea4c7525 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/be6356f1-a474-49a1-b416-9c1aea4c7525 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, "bbytxt/be6356f1-a474-49a1-b416-9c1aea4c7525") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3289459dfc8bcda2178a196185a289043905f2aafa11e840c67c21c491c697b5
- Size of remote file:
- 14.2 kB
- SHA256:
- 5bf1d95b214f9b9b344dcc66e4f4c513109de800fd5f7bd2b7272f15ef3b8c7c
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