Instructions to use eleldar/theme-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eleldar/theme-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="eleldar/theme-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eleldar/theme-classification") model = AutoModelForSequenceClassification.from_pretrained("eleldar/theme-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d25bfdf6796bc10b8f491530fd6a3aa5b6204e6624ba0222933ed98c7ee7ab50
- Size of remote file:
- 1.63 GB
- SHA256:
- ce253627f98f9db22af6a86efee6e905f001f7d8dc02dd14a8b4b4710c302b17
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