Instructions to use onnx-community/bert-tiny-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/bert-tiny-ONNX with Transformers.js:
// ⚠️ Unknown pipeline tag
Download config.json from onnx-community/bert-tiny-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 532 Bytes
-
https://huggingface.co/onnx-community/bert-tiny-ONNX/resolve/main/config.json
- Command line
-
hf download hf://onnx-community/bert-tiny-ONNX/config.json
-
curl -L -o config.json https://huggingface.co/onnx-community/bert-tiny-ONNX/resolve/main/config.json
532 Bytes
| { | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 128, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 512, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 2, | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.57.6", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |