Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Relacosm/mca-sentiment-analyzer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Relacosm/mca-sentiment-analyzer-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Relacosm/mca-sentiment-analyzer-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Relacosm/mca-sentiment-analyzer-v2") model = AutoModelForSequenceClassification.from_pretrained("Relacosm/mca-sentiment-analyzer-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Anti-overfitting 5-class sentiment model
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Anti-overfitting 5-class sentiment model
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Anti-overfitting 5-class sentiment model
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Nuanced sentiment model with 5 classes
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initial commit
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