Instructions to use vsdnrdd/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vsdnrdd/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "vsdnrdd/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0013b0a481274057fa1dd81e5aa2d7161ce85c1bb97e79ea501de1dd7719c981
- Size of remote file:
- 4.28 kB
- SHA256:
- fdc27166177be7d0de6b48a55e3f2dccb3c12e412b7708a44e6cda5771b80858
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