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:
- 2c3858650bd47e99c0b50e3cc408adea5a3da003dc049162621dc1f36dca58f0
- Size of remote file:
- 6.78 kB
- SHA256:
- bc70aeb93cad3ecc1824f64094f2208a630b3d63f64c7603d1c7abe128ddfb95
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