Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use wesleymorris/language-beyond-the-source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wesleymorris/language-beyond-the-source with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wesleymorris/language-beyond-the-source")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wesleymorris/language-beyond-the-source") model = AutoModelForSequenceClassification.from_pretrained("wesleymorris/language-beyond-the-source", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Wesley Morris commited on
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## Intended uses & limitations
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This model is intended to be used to provide feedback to users of iTELL, a framework for generating intelligent educational texts. More information about iTELL can be found
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here: ](https://www.youtube.com/watch?v=YZXVQjSDZtI)
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## Training and evaluation data
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