Instructions to use SmartPy/readability-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmartPy/readability-longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SmartPy/readability-longformer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SmartPy/readability-longformer") model = AutoModelForSequenceClassification.from_pretrained("SmartPy/readability-longformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e8af664f061ad037b134e9164530907037b14da2e93e164020ef092e088cd41
- Size of remote file:
- 4.48 kB
- SHA256:
- ef890d82051bb6d2dacbb59d6c76793f0449dc53a39dabbda2c1302cd73edc5a
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