Instructions to use SmartPy/readability-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmartPy/readability-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SmartPy/readability-bert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SmartPy/readability-bert-large") model = AutoModelForSequenceClassification.from_pretrained("SmartPy/readability-bert-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2bc15ca113dc02eea2413788d862c4204e544daa130378a3632b5f3eb353780
- Size of remote file:
- 4.48 kB
- SHA256:
- a4a7fb4f517613b8d2b399fb40435b6cda9429cbdb189d75319981324c08ca14
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