Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use chamizzu/emotion_classifier_roberta_optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamizzu/emotion_classifier_roberta_optimized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chamizzu/emotion_classifier_roberta_optimized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chamizzu/emotion_classifier_roberta_optimized") model = AutoModelForSequenceClassification.from_pretrained("chamizzu/emotion_classifier_roberta_optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32ca1e5ded6df0f1e9468d742e418110558dbabd18e6cb40dbedf4f6f048442b
- Size of remote file:
- 5.37 kB
- SHA256:
- 656a40b3ca9a5b95a8bdb92cc2cbd6113dac879d88090fedf6f97e1bc886ac1c
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