Instructions to use FiveC/TADA-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/TADA-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FiveC/TADA-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 161 Bytes
3ea2de1 | 1 2 3 4 5 6 7 8 9 | {
"bos_token_id": 0,
"decoder_start_token_id": 2,
"eos_token_id": 2,
"forced_eos_token_id": 2,
"pad_token_id": 1,
"transformers_version": "4.57.0"
}
|