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
Commit ·
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Parent(s): 5a555ff
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:29e4867b19ff1d8c56e94379d83d3b1773ad081359e64b5784352dd86c623037
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size 439416888
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