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
Cold-Data-LLama-2-7B / runs /Aug09_10-08-36_fastgpuserv /events.out.tfevents.1723180125.fastgpuserv.494076.0
- Xet hash:
- bf68dde26a3da61bae6762fa28db87201f9730368b2f3884c936ed2cf16fd844
- Size of remote file:
- 5.78 kB
- SHA256:
- 49bda035f9f01f0961818a10f644eb3de63db842ea812b8da5a9d472d7d54b7f
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