Instructions to use zhangx306/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zhangx306/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/Mistral-7B-v0.1-bf16-sharded") model = PeftModel.from_pretrained(base_model, "zhangx306/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a1673685d401b5e40141d5270e1d71a51929a0bc711a1d5945ddefb682582f5
- Size of remote file:
- 4.98 kB
- SHA256:
- 559fa4484da24fc895a9db5b57b9ae4947d142d8a7b8a753b6d8d2c724bd65da
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