Instructions to use Lakshay1Dagar/falcon7binstruct_mentalhealthmodel_oct23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakshay1Dagar/falcon7binstruct_mentalhealthmodel_oct23 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lakshay1Dagar/falcon7binstruct_mentalhealthmodel_oct23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef8963f8bab6164ccd91ee92806ddb17d26c8429baf064adeed8945214e6a7c9
- Size of remote file:
- 261 MB
- SHA256:
- 088fbc329eec434956b5e8d9be0dfea2e1750840da419fa48e7ccc7de99753a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.