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:
- b42ab8b61b50707249b55fba4ab55f891de536c2cb076f2a37411400f434475c
- Size of remote file:
- 201 MB
- SHA256:
- 3f6c7c18433e0cf975e7c2cd0e65b41ddb52d8773e3c52d22ba2c545d758536e
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