Text Classification
Transformers
Safetensors
xlm-roberta
emotion-classification
roberta
fine-tuned
multilingual
Eval Results (legacy)
text-embeddings-inference
Instructions to use visegradmedia-emotion/Emotion_RoBERTa_pooled_V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use visegradmedia-emotion/Emotion_RoBERTa_pooled_V4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="visegradmedia-emotion/Emotion_RoBERTa_pooled_V4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("visegradmedia-emotion/Emotion_RoBERTa_pooled_V4") model = AutoModelForSequenceClassification.from_pretrained("visegradmedia-emotion/Emotion_RoBERTa_pooled_V4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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