Instructions to use somosnlp-hackathon-2023/vg055-roberta-base-bne-finetuned-analisis-sentimiento-textos-turisticos-mx-polaridad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somosnlp-hackathon-2023/vg055-roberta-base-bne-finetuned-analisis-sentimiento-textos-turisticos-mx-polaridad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="somosnlp-hackathon-2023/vg055-roberta-base-bne-finetuned-analisis-sentimiento-textos-turisticos-mx-polaridad")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("somosnlp-hackathon-2023/vg055-roberta-base-bne-finetuned-analisis-sentimiento-textos-turisticos-mx-polaridad") model = AutoModelForSequenceClassification.from_pretrained("somosnlp-hackathon-2023/vg055-roberta-base-bne-finetuned-analisis-sentimiento-textos-turisticos-mx-polaridad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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