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:
- 649b061f0f317418760f25fdc8ccbc4bd89973dae3ebccaf9e55b407a55332e4
- Size of remote file:
- 1.44 GB
- SHA256:
- 0845e06e5792479574a191e1827c701bf435fa2c3fccc05c32ac6babc1062c18
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