Create README.md

README.md

@@ -0,0 +1,41 @@
+---
+language: en
+tags:
+- vad
+- emotion
+- bert
+license: mit
+model-index:
+- name: vad-bert
+  results: []
+datasets:
+- reallycarlaost/emobank
+base_model:
+- google-bert/bert-base-uncased
+---
+
+# vad-bert
+
+A BERT-based model fine-tuned to predict **Valence, Arousal, and Dominance (VAD)** values from text.
+
+## Intended use
+
+This model is intended for regression tasks on emotional dimensions. It outputs 3 float values corresponding to:
+
+- Valence (pleasant vs unpleasant)
+- Arousal (calm vs excited)
+- Dominance (controlled vs in control)
+
+## Example
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained("RobroKools/vad-bert")
+model = AutoModelForSequenceClassification.from_pretrained("RobroKools/vad-bert")
+
+inputs = tokenizer("I'm feeling great!", return_tensors="pt")
+outputs = model(**inputs)
+
+vad = outputs.logits.detach().squeeze().tolist()
+print(vad)  # [valence, arousal, dominance]