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 /Aug20_23-57-27_fastgpuserv /events.out.tfevents.1724180258.fastgpuserv.1412094.0
- Xet hash:
- 922a7e26c93f7a7960c0702c2488b81c2d5baa2341c2c35e6064d88f29549528
- Size of remote file:
- 8.7 kB
- SHA256:
- cfea3dd99266f8e2d927b3263ad7f9dc2333b546e001b052feec3f12f408c84a
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