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:
- 593651bd0ac274b5cfd8c121d0fe3eb2624ff5b3909f0dd444464d93aacd6e33
- Size of remote file:
- 134 MB
- SHA256:
- a7d77173a9be7455de7c56d0e58c04ebbbf42fbdc346f11bb79d33906aa239ff
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