Instructions to use GesturingMan/Falcon_ZS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GesturingMan/Falcon_ZS 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, "GesturingMan/Falcon_ZS") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from GesturingMan/Falcon_ZS: direct link, hf CLI and curl.
- Browser
- Download file 522 MB
-
https://huggingface.co/GesturingMan/Falcon_ZS/resolve/refs%2Fpr%2F1/adapter_model.bin
- Command line
-
hf download hf://GesturingMan/Falcon_ZS@refs/pr/1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/GesturingMan/Falcon_ZS/resolve/refs%2Fpr%2F1/adapter_model.bin
522 MB
- Xet hash:
- 0043999597195f6dee7a93845c052a51df791b63a6e253e75c7765c871db6180
- Size of remote file:
- 522 MB
- SHA256:
- 1169bf996b28d870446fa3dc64fdf58a92e20ae56e0a5a58560f2f46b13ba1f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.