Instructions to use Defalt-404/LoRA_Falcon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Defalt-404/LoRA_Falcon with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b") model = PeftModel.from_pretrained(base_model, "Defalt-404/LoRA_Falcon") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a10cd6c390407bc6564c0d42e3e927571bae18dc1c3ebccfdbc28966d53b643
- Size of remote file:
- 222 MB
- SHA256:
- da399fa01c6f2d54d55f5a1c9c391bdc9f5f7254534684c731206998f9c240cc
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