Instructions to use multimolecule/scbasset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/scbasset with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/scbasset") model = AutoModel.from_pretrained("multimolecule/scbasset") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ScBassetForSequencePrediction" | |
| ], | |
| "batch_norm_eps": 0.001, | |
| "batch_norm_momentum": 0.1, | |
| "bos_token_id": 1, | |
| "bottleneck_size": 32, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "head": { | |
| "act": null, | |
| "bias": true, | |
| "dropout": 0.0, | |
| "hidden_size": 32, | |
| "layer_norm_eps": 1e-12, | |
| "loss_weight": null, | |
| "num_labels": 2034, | |
| "output_name": null, | |
| "problem_type": "binary", | |
| "transform": null, | |
| "transform_act": "gelu", | |
| "type": null | |
| }, | |
| "hidden_act": "quick_gelu", | |
| "hidden_dropout": 0.2, | |
| "hidden_size": 32, | |
| "id2label": null, | |
| "label2id": null, | |
| "mask_token_id": 4, | |
| "model_type": "scbasset", | |
| "null_token_id": 5, | |
| "num_labels": 2034, | |
| "pad_token_id": 0, | |
| "pointwise_channels": 256, | |
| "sequence_length": 1344, | |
| "stem_channels": 288, | |
| "stem_kernel_size": 17, | |
| "stem_pool_size": 3, | |
| "tie_word_embeddings": true, | |
| "tower_channels": [ | |
| 288, | |
| 323, | |
| 363, | |
| 407, | |
| 456, | |
| 512 | |
| ], | |
| "tower_kernel_size": 5, | |
| "tower_pool_size": 2, | |
| "transformers_version": "5.7.0", | |
| "unk_token_id": 3, | |
| "vocab_size": 5 | |
| } | |