Instructions to use havinash-ai/e52fc7d3-1856-41d4-9d3c-f64cfa94b40e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/e52fc7d3-1856-41d4-9d3c-f64cfa94b40e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-rw-1b") model = PeftModel.from_pretrained(base_model, "havinash-ai/e52fc7d3-1856-41d4-9d3c-f64cfa94b40e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbcb89c2f01ca6ee8c16e688909bd5b38c7076ae9ed088d5dd774314eefd2d06
- Size of remote file:
- 13 MB
- SHA256:
- 98de58038dd4e3abd921f637ac9bcf3c76fa548ee94a25ecfe85433f4c0f8dba
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