Text Classification
Transformers
Safetensors
English
roberta
emotion-classification
conversational-ai
domain-fine-tuned
inside-out
text-embeddings-inference
Instructions to use Kova-Mind/emotion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kova-Mind/emotion-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kova-Mind/emotion-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kova-Mind/emotion-v2") model = AutoModelForSequenceClassification.from_pretrained("Kova-Mind/emotion-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "id2label": { | |
| "0": "joy", | |
| "1": "sadness", | |
| "2": "anger", | |
| "3": "fear", | |
| "4": "disgust", | |
| "5": "anxiety", | |
| "6": "embarrassment", | |
| "7": "envy", | |
| "8": "ennui", | |
| "9": "neutral" | |
| }, | |
| "label2id": { | |
| "joy": 0, | |
| "sadness": 1, | |
| "anger": 2, | |
| "fear": 3, | |
| "disgust": 4, | |
| "anxiety": 5, | |
| "embarrassment": 6, | |
| "envy": 7, | |
| "ennui": 8, | |
| "neutral": 9 | |
| } | |
| } |