Instructions to use hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon3-1B-Base") model = PeftModel.from_pretrained(base_model, "hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa: direct link, hf CLI and curl.
- Browser
- Download file 415 MB
-
https://huggingface.co/hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa/resolve/main/adapter_model.bin
- Command line
-
hf download hf://hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa/resolve/main/adapter_model.bin
415 MB
- Xet hash:
- 4791ea1b5690e010c62cac35ca8b2ca649f846aa2cf94fb16244270c8bd21910
- Size of remote file:
- 415 MB
- SHA256:
- 80c61a6456544091cf1ba55d38f567ed51a8804456ae7a119ac08e338a4eb1b7
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