Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Prezily/topic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prezily/topic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Prezily/topic_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Prezily/topic_classification") model = AutoModelForSequenceClassification.from_pretrained("Prezily/topic_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee82404645099afc3d4ff16430e4aa8d42643a49bea960e5e3f0d92f16b46d25
- Size of remote file:
- 4.73 kB
- SHA256:
- 5149f0110f4218ed6b007af035f37356971a9cd25434566667501cff3ddf5d04
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