Instructions to use DB112/training1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DB112/training1 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, "DB112/training1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from DB112/training1: direct link, hf CLI and curl.
- Browser
- Download file 522 MB
-
https://huggingface.co/DB112/training1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://DB112/training1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/DB112/training1/resolve/main/adapter_model.bin
522 MB
- Xet hash:
- b05811429d135079c76978ebb4859c2b575d7f6273251e1af0d56c56f2aebed7
- Size of remote file:
- 522 MB
- SHA256:
- b322af1b990396d8772c67cc0b0cfa4d47f3af4af04ddab56db986b887f1ecff
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