Text Classification
Transformers
PyTorch
Safetensors
German
bert
easy-language
plain-language
leichte-sprache
einfache-sprache
text-complexity
text-embeddings-inference
Instructions to use krupper/text-complexity-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krupper/text-complexity-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="krupper/text-complexity-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("krupper/text-complexity-classification") model = AutoModelForSequenceClassification.from_pretrained("krupper/text-complexity-classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
bbb83fa
1
Parent(s): cc2c5fa
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (01bff1adcb4ef0e2eebf052474054be7e0ce8513)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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