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 /Aug09_10-22-52_fastgpuserv /events.out.tfevents.1723268246.fastgpuserv.502349.1
- Xet hash:
- 19b126cafc00718a7325521890e68d3fc3a5b0cf0c5c0186d040266a0ec0c5c4
- Size of remote file:
- 359 Bytes
- SHA256:
- ad26b338296efb151b9d75bb2d3adc053a8bd8b32894c14dd7fc8f83d4446db1
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