Instructions to use Manauu17/roberta_sentiments_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manauu17/roberta_sentiments_es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manauu17/roberta_sentiments_es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manauu17/roberta_sentiments_es") model = AutoModelForSequenceClassification.from_pretrained("Manauu17/roberta_sentiments_es") - Notebooks
- Google Colab
- Kaggle
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This is a roBERTa-base model trained on ~58M tweets and finetuned for sentiment analysis. This model currently supports Spanish sentences
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# roberta_sentiments_es , a Sentiment Analysis model for Spanish sentences
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This is a roBERTa-base model trained on ~58M tweets and finetuned for sentiment analysis. This model currently supports Spanish sentences
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