Instructions to use MVRL/presto_default_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MVRL/presto_default_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MVRL/presto_default_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "channel_embed_ratio": 0.25, | |
| "decoder_depth": 2, | |
| "decoder_embedding_size": 128, | |
| "decoder_num_heads": 8, | |
| "encoder_depth": 2, | |
| "encoder_embedding_size": 128, | |
| "encoder_num_heads": 8, | |
| "max_sequence_length": 24, | |
| "mlp_ratio": 4, | |
| "month_embed_ratio": 0.25, | |
| "transformers_version": "5.2.0" | |
| } | |