Instructions to use KeithHorgan/TweetClimateAnalysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KeithHorgan/TweetClimateAnalysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KeithHorgan/TweetClimateAnalysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KeithHorgan/TweetClimateAnalysis") model = AutoModelForSequenceClassification.from_pretrained("KeithHorgan/TweetClimateAnalysis") - Notebooks
- Google Colab
- Kaggle
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README.md
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tags: autotrain
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language: unk
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widget:
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- text: "
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datasets:
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- KeithHorgan98/autotrain-data-TweetClimateAnalysis
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co2_eq_emissions: 133.19491276284793
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tags: autotrain
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language: unk
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widget:
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- text: "Climate Change is a hoax"
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- text: "It is freezing, where is global warming"
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datasets:
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- KeithHorgan98/autotrain-data-TweetClimateAnalysis
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co2_eq_emissions: 133.19491276284793
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