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 last-checkpoint/adapter_model.safetensors 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/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/hasdal/bfe3df3d-eae6-45b5-8024-1929fbc905fa/resolve/main/last-checkpoint/adapter_model.safetensors
415 MB
- Xet hash:
- 57b2a28e75797ffffc25501f502a9e796c6aa0b8f124b232260c872416934db3
- Size of remote file:
- 415 MB
- SHA256:
- b0a2cacef83cc2ae217de8294cca0eb1a6961f12e36b203f8a56c77a0e8d3092
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