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_13-13-03_fastgpuserv /events.out.tfevents.1724573587.fastgpuserv.2039446.1
- Xet hash:
- d168a3681aca492937e5968c078c7f14fccd5b76da45ecc5b62416929377bc1b
- Size of remote file:
- 6.08 kB
- SHA256:
- 64b089d6bda5d19a795ebf1e10cdf2b6c9a42af74d8a209fa080f251c30e2e11
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