Instructions to use RajanGo/TEST-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RajanGo/TEST-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "RajanGo/TEST-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd8b82295503b84f711972965236c24ec2004903ed18116d38607f83d29a0802
- Size of remote file:
- 19.7 MB
- SHA256:
- 861984b1b7c576908a335d315a9b6c89ef279e468dcfc5bc4ad365be98ddf1ab
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