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 /Aug29_20-06-29_fastgpuserv /events.out.tfevents.1724943997.fastgpuserv.1011960.0
- Xet hash:
- b30a2378b97ccef376fd48313487937d9755d87c2ed697b6ed3065fa19ed2feb
- Size of remote file:
- 6.03 kB
- SHA256:
- 10126843c63585fbb3eeb126af177473c54233e9edbbe57e58ad7c0d13c1c5b1
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