Instructions to use RobPruzan/text-difficulty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RobPruzan/text-difficulty with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RobPruzan/text-difficulty")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RobPruzan/text-difficulty") model = AutoModelForSequenceClassification.from_pretrained("RobPruzan/text-difficulty", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38286c057b99240f9af6961c1c569be92fe0a9b8a993828ad55bb709dea11421
- Size of remote file:
- 268 MB
- SHA256:
- 7cf37adfb12f9284fa3107740759a0721f8f508abb687514d514459be80d5c16
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