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 /Aug25_13-16-49_fastgpuserv /events.out.tfevents.1724573812.fastgpuserv.2039446.3
- Xet hash:
- 103e95fe3874b14471f02a6e74ec618ca01afc37be1872e240854fdb281abfde
- Size of remote file:
- 6.08 kB
- SHA256:
- defe742e00d150c4f7cd16f19c449d8551e0850f8f033e36814c13839328d9e1
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