Token Classification
Transformers
ONNX
Safetensors
Portuguese
bert
speech-acts
atos-de-fala
dialogue-acts
portuguese
pt-br
bertimbau
bioes
Instructions to use lucianfialho/atos-de-fala-ptbr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucianfialho/atos-de-fala-ptbr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lucianfialho/atos-de-fala-ptbr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lucianfialho/atos-de-fala-ptbr") model = AutoModelForTokenClassification.from_pretrained("lucianfialho/atos-de-fala-ptbr") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "directionality": "bidi", | |
| "dtype": "float32", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-informar", | |
| "2": "I-informar", | |
| "3": "E-informar", | |
| "4": "S-informar", | |
| "5": "B-perguntar", | |
| "6": "I-perguntar", | |
| "7": "E-perguntar", | |
| "8": "S-perguntar", | |
| "9": "B-concordar", | |
| "10": "I-concordar", | |
| "11": "E-concordar", | |
| "12": "S-concordar", | |
| "13": "B-discordar", | |
| "14": "I-discordar", | |
| "15": "E-discordar", | |
| "16": "S-discordar", | |
| "17": "B-pedir", | |
| "18": "I-pedir", | |
| "19": "E-pedir", | |
| "20": "S-pedir", | |
| "21": "B-sugerir", | |
| "22": "I-sugerir", | |
| "23": "E-sugerir", | |
| "24": "S-sugerir", | |
| "25": "B-oferecer", | |
| "26": "I-oferecer", | |
| "27": "E-oferecer", | |
| "28": "S-oferecer", | |
| "29": "B-prometer", | |
| "30": "I-prometer", | |
| "31": "E-prometer", | |
| "32": "S-prometer", | |
| "33": "B-saudar", | |
| "34": "I-saudar", | |
| "35": "E-saudar", | |
| "36": "S-saudar", | |
| "37": "B-agradecer", | |
| "38": "I-agradecer", | |
| "39": "E-agradecer", | |
| "40": "S-agradecer", | |
| "41": "B-desculpar", | |
| "42": "I-desculpar", | |
| "43": "E-desculpar", | |
| "44": "S-desculpar", | |
| "45": "B-despedir", | |
| "46": "I-despedir", | |
| "47": "E-despedir", | |
| "48": "S-despedir", | |
| "49": "B-expressar_emocao", | |
| "50": "I-expressar_emocao", | |
| "51": "E-expressar_emocao", | |
| "52": "S-expressar_emocao" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "B-agradecer": 37, | |
| "B-concordar": 9, | |
| "B-desculpar": 41, | |
| "B-despedir": 45, | |
| "B-discordar": 13, | |
| "B-expressar_emocao": 49, | |
| "B-informar": 1, | |
| "B-oferecer": 25, | |
| "B-pedir": 17, | |
| "B-perguntar": 5, | |
| "B-prometer": 29, | |
| "B-saudar": 33, | |
| "B-sugerir": 21, | |
| "E-agradecer": 39, | |
| "E-concordar": 11, | |
| "E-desculpar": 43, | |
| "E-despedir": 47, | |
| "E-discordar": 15, | |
| "E-expressar_emocao": 51, | |
| "E-informar": 3, | |
| "E-oferecer": 27, | |
| "E-pedir": 19, | |
| "E-perguntar": 7, | |
| "E-prometer": 31, | |
| "E-saudar": 35, | |
| "E-sugerir": 23, | |
| "I-agradecer": 38, | |
| "I-concordar": 10, | |
| "I-desculpar": 42, | |
| "I-despedir": 46, | |
| "I-discordar": 14, | |
| "I-expressar_emocao": 50, | |
| "I-informar": 2, | |
| "I-oferecer": 26, | |
| "I-pedir": 18, | |
| "I-perguntar": 6, | |
| "I-prometer": 30, | |
| "I-saudar": 34, | |
| "I-sugerir": 22, | |
| "O": 0, | |
| "S-agradecer": 40, | |
| "S-concordar": 12, | |
| "S-desculpar": 44, | |
| "S-despedir": 48, | |
| "S-discordar": 16, | |
| "S-expressar_emocao": 52, | |
| "S-informar": 4, | |
| "S-oferecer": 28, | |
| "S-pedir": 20, | |
| "S-perguntar": 8, | |
| "S-prometer": 32, | |
| "S-saudar": 36, | |
| "S-sugerir": 24 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.57.6", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 29794 | |
| } | |