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:
- 9a5b0dab884bf653b2b5ec78a0fdf341855f24119418c90c0a30009698bf7803
- Size of remote file:
- 4.73 kB
- SHA256:
- 8dc0ba14bff78481f4635e8e2cf556ead090f07395e47cbea59e6778f8873210
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