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:
- 74b0d30e4953fbd120ec8519d7515edd8ad2fc439c16b3decac64bb7818def42
- Size of remote file:
- 5.43 kB
- SHA256:
- 1df3b6eb12d694cd271d02b60e1d27d802ef1c30f575b7ffed354e2041d3d410
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