Instructions to use graphistry/twitter-relevancy-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use graphistry/twitter-relevancy-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="graphistry/twitter-relevancy-filter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("graphistry/twitter-relevancy-filter") model = AutoModelForSequenceClassification.from_pretrained("graphistry/twitter-relevancy-filter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb022ab1ed099f633f507a18f1e21712de4709b98f7be3b940a8a8a1f24a9f28
- Size of remote file:
- 17.1 MB
- SHA256:
- 6ada83ceb5cde4af83bf64839fe365b99bd25964ad8829793848e54893092812
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