Instructions to use bilkultheek/Cold-Data-LLama-2-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bilkultheek/Cold-Data-LLama-2-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "bilkultheek/Cold-Data-LLama-2-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a866625815cebb26ef2d7287200bc8b061736b7c8307938ae51904445a1740d5
- Size of remote file:
- 5.43 kB
- SHA256:
- 21b86e976742ac551448f27e667386e338540ab50467a2b4c2d3ab945e6a3504
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