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
- Xet hash:
- 0ee1eaa38e50741a8a85b2831fed637168a22f794e8549288663dc50ac7f0f71
- Size of remote file:
- 5.37 kB
- SHA256:
- 76e4d4d2331f0607bba5902636d8473fbdc97ad1e61239bad5a4c5473ffe0458
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