Instructions to use Bton/llama-ReviewsFinetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bton/llama-ReviewsFinetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Bton/llama-ReviewsFinetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac64fd947d84aba17621518e855e340dc76da7fd44dde7c6e9bd01960b621dcd
- Size of remote file:
- 5.56 kB
- SHA256:
- 6869c5a12cb0f8a646c77cb062935e0cb204d72ac101cb6ceefe4450b17a5d2d
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