Text Classification
Transformers
Safetensors
PyTorch
English
modernbert
ModernBERT
emotions
multi-class-classification
multi-label-classification
text-embeddings-inference
Instructions to use cirimus/modernbert-base-go-emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cirimus/modernbert-base-go-emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cirimus/modernbert-base-go-emotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cirimus/modernbert-base-go-emotions") model = AutoModelForSequenceClassification.from_pretrained("cirimus/modernbert-base-go-emotions") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ModernBertForSequenceClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.05, | |
| "bos_token_id": 50281, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.1, | |
| "classifier_pooling": "mean", | |
| "cls_token_id": 50281, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "eos_token_id": 50282, | |
| "global_attn_every_n_layers": 3, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "admiration", | |
| "1": "amusement", | |
| "2": "anger", | |
| "3": "annoyance", | |
| "4": "approval", | |
| "5": "caring", | |
| "6": "confusion", | |
| "7": "curiosity", | |
| "8": "desire", | |
| "9": "disappointment", | |
| "10": "disapproval", | |
| "11": "disgust", | |
| "12": "embarrassment", | |
| "13": "excitement", | |
| "14": "fear", | |
| "15": "gratitude", | |
| "16": "grief", | |
| "17": "joy", | |
| "18": "love", | |
| "19": "nervousness", | |
| "20": "optimism", | |
| "21": "pride", | |
| "22": "realization", | |
| "23": "relief", | |
| "24": "remorse", | |
| "25": "sadness", | |
| "26": "surprise", | |
| "27": "neutral" | |
| }, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "label2id": { | |
| "admiration": 0, | |
| "amusement": 1, | |
| "anger": 2, | |
| "annoyance": 3, | |
| "approval": 4, | |
| "caring": 5, | |
| "confusion": 6, | |
| "curiosity": 7, | |
| "desire": 8, | |
| "disappointment": 9, | |
| "disapproval": 10, | |
| "disgust": 11, | |
| "embarrassment": 12, | |
| "excitement": 13, | |
| "fear": 14, | |
| "gratitude": 15, | |
| "grief": 16, | |
| "joy": 17, | |
| "love": 18, | |
| "nervousness": 19, | |
| "neutral": 27, | |
| "optimism": 20, | |
| "pride": 21, | |
| "realization": 22, | |
| "relief": 23, | |
| "remorse": 24, | |
| "sadness": 25, | |
| "surprise": 26 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "layer_types": [ | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "local_attention": 128, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.05, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 50283, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "multi_label_classification", | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sep_token_id": 50282, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.3.0", | |
| "vocab_size": 50368 | |
| } | |