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
- Xet hash:
- 9439bfce3e36a2648557a434804bb86e0532ebb76134dfe7996accfe7fe61a80
- Size of remote file:
- 1.42 GB
- SHA256:
- 47b91b133d56ee1045bb326fcd1618b46b36c5106ba698b6c08d0880f1b82a0e
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