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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:13ddd6bc0b2a328ba82d4594b6426fe654f4514e572b03c979b84da51876e5de
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size 267829484
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