Instructions to use Abhinand20/falcon-7b-cloud with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Abhinand20/falcon-7b-cloud with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "Abhinand20/falcon-7b-cloud") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e111bf838c338359c4719ee021392d9a7d67dae5a9c4ff5a554820ee68cb2a8
- Size of remote file:
- 18.9 MB
- SHA256:
- e83b4c7bb0ebd18fd2171fe0005bcdf9bd3313ea434b29f4f412b034be6e1028
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