Instructions to use carlosejimenez/wiki103_bert_small_visual_only_e27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carlosejimenez/wiki103_bert_small_visual_only_e27 with Transformers:
# Load model directly from transformers import AutoTokenizer, CoLwithBert tokenizer = AutoTokenizer.from_pretrained("carlosejimenez/wiki103_bert_small_visual_only_e27") model = CoLwithBert.from_pretrained("carlosejimenez/wiki103_bert_small_visual_only_e27") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "CoLwithBert" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "do_voken_cls": true, | |
| "do_voken_ctr": false, | |
| "do_voken_reg": false, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 512, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2048, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 0, | |
| "shared_head": false, | |
| "type_vocab_size": 2, | |
| "verbose": true, | |
| "vocab_size": 30522, | |
| "voken_dim": null, | |
| "voken_size": 50000 | |
| } | |