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")# pip install -U transformers accelerate # 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
Download tokenizer.json from Kova-Mind/emotion-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/Kova-Mind/emotion-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Kova-Mind/emotion-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Kova-Mind/emotion-v2/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.