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:
- 2fb208a581d849b119aeeccce7b1db258efd7db1529420961f02fe05efdc5baa
- Size of remote file:
- 201 MB
- SHA256:
- fe1e4852c212204c664857d4bdac52334d0729fe28620a7658b88053f55e0c30
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