Instructions to use osanseviero/khipu_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osanseviero/khipu_example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="osanseviero/khipu_example")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("osanseviero/khipu_example") model = AutoModelForSequenceClassification.from_pretrained("osanseviero/khipu_example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload tokenizer
f9d979d -
update model card README.md
Omar Sanseviero052bd2c -
End of training
Omar Sanseviero7fcfdb9 -
initial commit
Omar Sanseviero91d18ae