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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jiiyy/funnel") model = AutoModelForSequenceClassification.from_pretrained("jiiyy/funnel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jiiyy/funnel: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/jiiyy/funnel/resolve/main/training_args.bin
- Command line
-
hf download hf://jiiyy/funnel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jiiyy/funnel/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- f4231e1e143a0bb56e6fc8c7da4bc33191c9882db467daf1b3e1a6f561c1a3c9
- Size of remote file:
- 3.96 kB
- SHA256:
- fc0b656717a345b25bc27c126f70fe99d5ed8a46b0eca723891e898282ddfc70
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