Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use chamizzu/emotion_classifier_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamizzu/emotion_classifier_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chamizzu/emotion_classifier_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chamizzu/emotion_classifier_roberta") model = AutoModelForSequenceClassification.from_pretrained("chamizzu/emotion_classifier_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a082a5e0dfc35a5836aaa3ba20b5b05ebe966c6c00f143ce73f6df7523c5151b
- Size of remote file:
- 499 MB
- SHA256:
- 181d56310bfa70051578dd7a2736ea2a3506ab99481183a89bece507723d4c8a
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