Instructions to use scikit-bio/tmvec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scikit-bio/tmvec with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scikit-bio/tmvec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_commit_hash": null, | |
| "activation": "relu", | |
| "d_model": 1024, | |
| "dim_feedforward": 2048, | |
| "dropout": 0.1, | |
| "lr0": 5e-05, | |
| "nhead": 4, | |
| "num_layers": 2, | |
| "out_dim": 512, | |
| "transformers_version": null, | |
| "warmup_steps": 400 | |
| } | |