Instructions to use Logeswaransr/AI_Chaperone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Logeswaransr/AI_Chaperone with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Logeswaransr/AI_Chaperone") model = AutoModelForSeq2SeqLM.from_pretrained("Logeswaransr/AI_Chaperone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04657f4f95c46eb08521a6226d0d6a9730a5f395030218b79fdc1b7b0c4f62b0
- Size of remote file:
- 4.16 kB
- SHA256:
- d74d5f201c9efe3c228b617669fbe4b114ce9181f38df7151fd10c63f78cd14e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.