Instructions to use pawlo2013/roberta_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pawlo2013/roberta_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pawlo2013/roberta_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pawlo2013/roberta_sentiment") model = AutoModelForSequenceClassification.from_pretrained("pawlo2013/roberta_sentiment") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Roberta finetuned for sentiment analysis
labels = ['positive', 'negative', 'neutral']
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