Token Classification
Transformers
TensorBoard
Safetensors
bert
semantic-role-labeling
Generated from Trainer
Instructions to use pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg") model = AutoModelForTokenClassification.from_pretrained("pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "bert-base-uncased", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "ARG0", | |
| "1": "ARG1", | |
| "2": "ARG1-DSP", | |
| "3": "ARG2", | |
| "4": "ARG3", | |
| "5": "ARG4", | |
| "6": "ARG5", | |
| "7": "ARGA", | |
| "8": "ARGM-ADJ", | |
| "9": "ARGM-ADV", | |
| "10": "ARGM-CAU", | |
| "11": "ARGM-COM", | |
| "12": "ARGM-CXN", | |
| "13": "ARGM-DIR", | |
| "14": "ARGM-DIS", | |
| "15": "ARGM-EXT", | |
| "16": "ARGM-GOL", | |
| "17": "ARGM-LOC", | |
| "18": "ARGM-LVB", | |
| "19": "ARGM-MNR", | |
| "20": "ARGM-MOD", | |
| "21": "ARGM-NEG", | |
| "22": "ARGM-PRD", | |
| "23": "ARGM-PRP", | |
| "24": "ARGM-PRR", | |
| "25": "ARGM-REC", | |
| "26": "ARGM-TMP", | |
| "27": "C-ARG0", | |
| "28": "C-ARG1", | |
| "29": "C-ARG1-DSP", | |
| "30": "C-ARG2", | |
| "31": "C-ARG3", | |
| "32": "C-ARG4", | |
| "33": "C-ARGM-ADV", | |
| "34": "C-ARGM-COM", | |
| "35": "C-ARGM-CXN", | |
| "36": "C-ARGM-DIR", | |
| "37": "C-ARGM-EXT", | |
| "38": "C-ARGM-GOL", | |
| "39": "C-ARGM-LOC", | |
| "40": "C-ARGM-MNR", | |
| "41": "C-ARGM-PRP", | |
| "42": "C-ARGM-PRR", | |
| "43": "C-ARGM-TMP", | |
| "44": "C-V", | |
| "45": "R-ARG0", | |
| "46": "R-ARG1", | |
| "47": "R-ARG2", | |
| "48": "R-ARG3", | |
| "49": "R-ARG4", | |
| "50": "R-ARGM-ADJ", | |
| "51": "R-ARGM-ADV", | |
| "52": "R-ARGM-CAU", | |
| "53": "R-ARGM-COM", | |
| "54": "R-ARGM-DIR", | |
| "55": "R-ARGM-GOL", | |
| "56": "R-ARGM-LOC", | |
| "57": "R-ARGM-MNR", | |
| "58": "R-ARGM-TMP", | |
| "59": "_" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "ARG0": 0, | |
| "ARG1": 1, | |
| "ARG1-DSP": 2, | |
| "ARG2": 3, | |
| "ARG3": 4, | |
| "ARG4": 5, | |
| "ARG5": 6, | |
| "ARGA": 7, | |
| "ARGM-ADJ": 8, | |
| "ARGM-ADV": 9, | |
| "ARGM-CAU": 10, | |
| "ARGM-COM": 11, | |
| "ARGM-CXN": 12, | |
| "ARGM-DIR": 13, | |
| "ARGM-DIS": 14, | |
| "ARGM-EXT": 15, | |
| "ARGM-GOL": 16, | |
| "ARGM-LOC": 17, | |
| "ARGM-LVB": 18, | |
| "ARGM-MNR": 19, | |
| "ARGM-MOD": 20, | |
| "ARGM-NEG": 21, | |
| "ARGM-PRD": 22, | |
| "ARGM-PRP": 23, | |
| "ARGM-PRR": 24, | |
| "ARGM-REC": 25, | |
| "ARGM-TMP": 26, | |
| "C-ARG0": 27, | |
| "C-ARG1": 28, | |
| "C-ARG1-DSP": 29, | |
| "C-ARG2": 30, | |
| "C-ARG3": 31, | |
| "C-ARG4": 32, | |
| "C-ARGM-ADV": 33, | |
| "C-ARGM-COM": 34, | |
| "C-ARGM-CXN": 35, | |
| "C-ARGM-DIR": 36, | |
| "C-ARGM-EXT": 37, | |
| "C-ARGM-GOL": 38, | |
| "C-ARGM-LOC": 39, | |
| "C-ARGM-MNR": 40, | |
| "C-ARGM-PRP": 41, | |
| "C-ARGM-PRR": 42, | |
| "C-ARGM-TMP": 43, | |
| "C-V": 44, | |
| "R-ARG0": 45, | |
| "R-ARG1": 46, | |
| "R-ARG2": 47, | |
| "R-ARG3": 48, | |
| "R-ARG4": 49, | |
| "R-ARGM-ADJ": 50, | |
| "R-ARGM-ADV": 51, | |
| "R-ARGM-CAU": 52, | |
| "R-ARGM-COM": 53, | |
| "R-ARGM-DIR": 54, | |
| "R-ARGM-GOL": 55, | |
| "R-ARGM-LOC": 56, | |
| "R-ARGM-MNR": 57, | |
| "R-ARGM-TMP": 58, | |
| "_": 59 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.37.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |