Text Classification
Transformers
Safetensors
English
bert
emotion
classification
neurobert
emojis
emotions
v1.0
sentiment-analysis
nlp
lightweight
chatbot
social-media
mental-health
short-text
emotion-detection
real-time
expressive
ai
machine-learning
english
inference
edge-ai
smart-replies
tone-analysis
contextual-ai
wearable-ai
Update config.json
Browse files- config.json +4 -4
config.json
CHANGED
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@@ -8,7 +8,7 @@
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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| 10 |
"id2label": {
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| 11 |
-
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"1": "anger",
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| 13 |
"2": "love",
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"3": "surprise",
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@@ -43,13 +43,13 @@
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| 43 |
"max_position_embeddings": 512,
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| 44 |
"model_type": "bert",
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| 45 |
"num_attention_heads": 4,
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| 46 |
-
"num_hidden_layers":
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| 47 |
"pad_token_id": 0,
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| 48 |
"position_embedding_type": "absolute",
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| 49 |
"problem_type": "single_label_classification",
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| 50 |
"torch_dtype": "float32",
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| 51 |
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"transformers_version": "4.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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| 55 |
-
}
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"hidden_dropout_prob": 0.1,
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| 9 |
"hidden_size": 256,
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"id2label": {
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| 11 |
+
"0": "sadness",
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| 12 |
"1": "anger",
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| 13 |
"2": "love",
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"3": "surprise",
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| 43 |
"max_position_embeddings": 512,
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| 44 |
"model_type": "bert",
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"num_attention_heads": 4,
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| 46 |
+
"num_hidden_layers": 8,
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| 47 |
"pad_token_id": 0,
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| 48 |
"position_embedding_type": "absolute",
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| 49 |
"problem_type": "single_label_classification",
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| 50 |
"torch_dtype": "float32",
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| 51 |
+
"transformers_version": "4.51.3",
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| 52 |
"type_vocab_size": 2,
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| 53 |
"use_cache": true,
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| 54 |
"vocab_size": 30522
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| 55 |
+
}
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