Instructions to use vsdnrdd/Vinayak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vsdnrdd/Vinayak 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/Vinayak") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ff6c3804487bbf0a13b7e9dfe06fa325902b6c5f4cdc63bf4ddd092404982bb
- Size of remote file:
- 4.28 kB
- SHA256:
- 54db55733f0e4a3d496d2b2245895ebd7d1cbbcbd424831adf3f36b96462ab26
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