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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SmartPy/readability-bert-large") model = AutoModelForSequenceClassification.from_pretrained("SmartPy/readability-bert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from SmartPy/readability-bert-large: direct link, hf CLI and curl.
- Browser
- Download file 1.44 GB
-
https://huggingface.co/SmartPy/readability-bert-large/resolve/main/model.safetensors
- Command line
-
hf download hf://SmartPy/readability-bert-large/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/SmartPy/readability-bert-large/resolve/main/model.safetensors
1.44 GB
- Xet hash:
- 649b061f0f317418760f25fdc8ccbc4bd89973dae3ebccaf9e55b407a55332e4
- Size of remote file:
- 1.44 GB
- SHA256:
- 0845e06e5792479574a191e1827c701bf435fa2c3fccc05c32ac6babc1062c18
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