Text Classification
Transformers
PyTorch
TensorBoard
funnel
Generated from Trainer
Eval Results (legacy)
Instructions to use jiiyy/funnel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiiyy/funnel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jiiyy/funnel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jiiyy/funnel") model = AutoModelForSequenceClassification.from_pretrained("jiiyy/funnel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4231e1e143a0bb56e6fc8c7da4bc33191c9882db467daf1b3e1a6f561c1a3c9
- Size of remote file:
- 3.96 kB
- SHA256:
- fc0b656717a345b25bc27c126f70fe99d5ed8a46b0eca723891e898282ddfc70
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