Instructions to use Pradeep/Twitter-777 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pradeep/Twitter-777 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pradeep/Twitter-777")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pradeep/Twitter-777") model = AutoModelForSequenceClassification.from_pretrained("Pradeep/Twitter-777") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b5d14b5263d8c38e348176a668152cc5b22fef8ad779060b524038dcf5ad69a
- Size of remote file:
- 438 MB
- SHA256:
- 29e9889b859e04957ff7ca8e8f96451ca2dcbdb27bab2c30a0f172191387f4f1
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