Text Classification
Transformers
Safetensors
roberta
sentiment-analysis
ecommerce
customer-reviews
amazon-reviews
streamlit
text-embeddings-inference
Instructions to use zoeywwww/cardiffnlp-sentiment-3class-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zoeywwww/cardiffnlp-sentiment-3class-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zoeywwww/cardiffnlp-sentiment-3class-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zoeywwww/cardiffnlp-sentiment-3class-finetuned") model = AutoModelForSequenceClassification.from_pretrained("zoeywwww/cardiffnlp-sentiment-3class-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d3713775fc0140046fd0c6fa8646dbcf391a8482201d3ed7d1dc67d40b5ac3e
- Size of remote file:
- 499 MB
- SHA256:
- d330092f85ec5a408248426a03de7d8a4293407c8e771a48b07a94b111331738
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