Instructions to use 47ag925/roberta-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 47ag925/roberta-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="47ag925/roberta-base-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("47ag925/roberta-base-NER") model = AutoModelForTokenClassification.from_pretrained("47ag925/roberta-base-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from 47ag925/roberta-base-NER: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/47ag925/roberta-base-NER/resolve/main/config.json
- Command line
-
hf download hf://47ag925/roberta-base-NER/config.json
-
curl -L -o config.json https://huggingface.co/47ag925/roberta-base-NER/resolve/main/config.json
1.22 kB
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "RobertaForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "B-DT", | |
| "1": "I-DT", | |
| "2": "B-LC", | |
| "3": "I-LC", | |
| "4": "B-OG", | |
| "5": "I-OG", | |
| "6": "B-PS", | |
| "7": "I-PS", | |
| "8": "B-QT", | |
| "9": "I-QT", | |
| "10": "B-TI", | |
| "11": "I-TI", | |
| "12": "O" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "label2id": { | |
| "B-DT": 0, | |
| "B-LC": 2, | |
| "B-OG": 4, | |
| "B-PS": 6, | |
| "B-QT": 8, | |
| "B-TI": 10, | |
| "I-DT": 1, | |
| "I-LC": 3, | |
| "I-OG": 5, | |
| "I-PS": 7, | |
| "I-QT": 9, | |
| "I-TI": 11, | |
| "O": 12 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "tie_word_embeddings": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "transformers_version": "5.16.1", | |
| "type_vocab_size": 1, | |
| "use_cache": false, | |
| "vocab_size": 32000 | |
| } | |