Instructions to use UMUTeam/roberta-spanish-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UMUTeam/roberta-spanish-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UMUTeam/roberta-spanish-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UMUTeam/roberta-spanish-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("UMUTeam/roberta-spanish-sentiment-analysis", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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fixed tokenizer
José Antonio García Díazfd0be85 -
new model
José Antonio García Díazd28792f -
another datasets
José Antonio García Díaz6050e39 -
update model with adjusted corpus
José Antonio García Díaz308b9d4
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hyper
José Antonio García Díaz783a75e -
move to marIA
José Antonio García Díaz7672840