Instructions to use wiorz/long_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiorz/long_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wiorz/long_small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wiorz/long_small") model = AutoModelForSequenceClassification.from_pretrained("wiorz/long_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b193af249e8cd6fc87cbb16a707a3b1d70b70ca4214dd10a02360fe8736e9b2b
- Size of remote file:
- 595 MB
- SHA256:
- c9ca02d06468f6c13973966126147eed12b634b9878abb5319adc76d496a5fb1
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