Instructions to use ayush-vatsal/fine-tuned_caption_falcon_7b_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ayush-vatsal/fine-tuned_caption_falcon_7b_instruct with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("ayush-vatsal/fine-tuned_caption_falcon_7b_instruct", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56931511b56a076f396ea64bb881dd412e86244be559bd2155390a3b19ad1fed
- Size of remote file:
- 3.96 kB
- SHA256:
- b558f5e0fe8240ffd37fe12c907452a8ce8bbedd52777da6c1c61537a61e198a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.