Instructions to use tr3cks/2LabelsSentimentAnalysisSpanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tr3cks/2LabelsSentimentAnalysisSpanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tr3cks/2LabelsSentimentAnalysisSpanish")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tr3cks/2LabelsSentimentAnalysisSpanish") model = AutoModelForSequenceClassification.from_pretrained("tr3cks/2LabelsSentimentAnalysisSpanish") - Notebooks
- Google Colab
- Kaggle
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version https://git-lfs.github.com/spec/v1
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oid sha256:394c15a1c3f38c7d03025a3ea8fa11e9b7ef013dc5772c0912338d7effbabb50
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size 439491383
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