Instructions to use datasistah/falcon_peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datasistah/falcon_peft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "datasistah/falcon_peft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52e3eb7b61f34fe3a4f21d59771bc256dd929f4ba25eb908e882b6a1295f5529
- Size of remote file:
- 75.5 MB
- SHA256:
- a1d7f2bc2709ff8c4c62f8581a752029e09a81cd7f1889c6842d86c56429aa45
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