Instructions to use bclavie/distiledubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bclavie/distiledubert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bclavie/distiledubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "activation": "gelu", | |
| "attention_dropout": 0.1, | |
| "dim": 768, | |
| "dropout": 0.1, | |
| "finetuning_task": null, | |
| "hidden_dim": 3072, | |
| "initializer_range": 0.02, | |
| "max_position_embeddings": 512, | |
| "n_heads": 12, | |
| "n_layers": 6, | |
| "num_labels": 2, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pruned_heads": {}, | |
| "qa_dropout": 0.1, | |
| "seq_classif_dropout": 0.2, | |
| "sinusoidal_pos_embds": false, | |
| "tie_weights_": true, | |
| "torchscript": false, | |
| "use_bfloat16": false, | |
| "vocab_size": 30522 | |
| } | |