Instructions to use Venkateshgali91/Model-text-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Venkateshgali91/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, "Venkateshgali91/Model-text-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b5c5515b35b753590e95e55d3dc3e9585c82e030e82942f8789caebf0f93bb4
- Size of remote file:
- 14.5 MB
- SHA256:
- 78054cbc434e48f8e32057570ba47601d3682eb32470f4b9510392d9c9c43632
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