Token Classification
Transformers.js
ONNX
English
bert
slot-filling
ner
quantized
Eval Results (legacy)
Instructions to use jottypro/notes-slots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use jottypro/notes-slots with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'jottypro/notes-slots');
| { | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 256, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-PARTICIPANT", | |
| "2": "I-PARTICIPANT", | |
| "3": "B-PRIORITY", | |
| "4": "I-PRIORITY", | |
| "5": "B-DATETIME", | |
| "6": "I-DATETIME", | |
| "7": "B-RECURRENCE", | |
| "8": "I-RECURRENCE" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1024, | |
| "label2id": { | |
| "B-DATETIME": 5, | |
| "B-PARTICIPANT": 1, | |
| "B-PRIORITY": 3, | |
| "B-RECURRENCE": 7, | |
| "I-DATETIME": 6, | |
| "I-PARTICIPANT": 2, | |
| "I-PRIORITY": 4, | |
| "I-RECURRENCE": 8, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.57.6", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |