Instructions to use tessilab/BS-Riche-Lora-Sftt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tessilab/BS-Riche-Lora-Sftt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "tessilab/BS-Riche-Lora-Sftt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 138eeecba70d195a4c50504bc1ed95999b49814f766b680d4f60c2868c9d204d
- Size of remote file:
- 11.4 MB
- SHA256:
- 741c85ffe434aad73e934a73ef380c85e94cd863b8f55e1a1ad66cacb5a93dfd
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