Instructions to use tr-aravindan/Model-text-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tr-aravindan/Model-text-generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-560m") model = PeftModel.from_pretrained(base_model, "tr-aravindan/Model-text-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb1240c3da4c2a913c3bf6ec92f4068efb453fad2986ab7d50b739ce60913ebc
- Size of remote file:
- 4.28 kB
- SHA256:
- 6482922214c9edbc5c3e605d66a4b151264dd92b606cc89365160cea78532f7b
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