Instructions to use devvanshhh/falcon_campaignName with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use devvanshhh/falcon_campaignName 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, "devvanshhh/falcon_campaignName") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd63c92f531d99a75b291e3de4476926b51874bf027eeffc6673142712154d5
- Size of remote file:
- 4.79 kB
- SHA256:
- aac77c7b2a6f0f96cd922d73c0cb408fc681b7b4f0b0cea4b43c410f308cfd11
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