Token Classification
Transformers
Safetensors
English
roberta
sequence-labeling
political-science
social-groups
parliamentary-debates
Instructions to use maxwlnd/roberta_group_mention_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxwlnd/roberta_group_mention_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="maxwlnd/roberta_group_mention_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("maxwlnd/roberta_group_mention_detector") model = AutoModelForTokenClassification.from_pretrained("maxwlnd/roberta_group_mention_detector") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": ["RobertaForTokenClassification"], | |
| "model_type": "roberta", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "B-socialgroup", | |
| "1": "I-socialgroup", | |
| "2": "O" | |
| }, | |
| "label2id": { | |
| "B-socialgroup": 0, | |
| "I-socialgroup": 1, | |
| "O": 2 | |
| }, | |
| "num_labels": 3, | |
| "max_position_embeddings": 514, | |
| "type_vocab_size": 1, | |
| "vocab_size": 50265 | |
| } |