Text Classification
Transformers
Safetensors
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use pszemraj/distilroberta-base-edu-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/distilroberta-base-edu-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pszemraj/distilroberta-base-edu-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pszemraj/distilroberta-base-edu-classifier") model = AutoModelForSequenceClassification.from_pretrained("pszemraj/distilroberta-base-edu-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 316f1cefe6a6e64f7662eb2da4c22642955ba6181cfa83a7a6902cb03348a11e
- Size of remote file:
- 5.37 kB
- SHA256:
- 4cb3af72cc517c3a923e40e86e8c074800729b8496b807b17425f576105afebe
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