Token Classification
Transformers.js
ONNX
Ancient Greek (to 1453)
bert
feature-extraction
morphological-tagging
ancient-greek
nlp
universal-dependencies
low-resource-language
digital-humanities
Instructions to use muggysdigital/DART-FT-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use muggysdigital/DART-FT-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'muggysdigital/DART-FT-ONNX');
Download config.json from muggysdigital/DART-FT-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 662 Bytes
-
https://huggingface.co/muggysdigital/DART-FT-ONNX/resolve/main/config.json
- Command line
-
hf download hf://muggysdigital/DART-FT-ONNX/config.json
-
curl -L -o config.json https://huggingface.co/muggysdigital/DART-FT-ONNX/resolve/main/config.json
662 Bytes
| { | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_max_length": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.57.6", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 35000 | |
| } | |