Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use KobanBanan/table-continuation-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KobanBanan/table-continuation-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KobanBanan/table-continuation-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KobanBanan/table-continuation-classifier") model = AutoModelForSequenceClassification.from_pretrained("KobanBanan/table-continuation-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8130c514623532da6171133bd01809fdb170ef6a252dc83ac162ce425973309a
- Size of remote file:
- 598 MB
- SHA256:
- 02d0c968dfe69a71118749a811913be82d84b4182371f508cc9436148c1f42eb
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