Instructions to use YaHi/teacher_deberta_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YaHi/teacher_deberta_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YaHi/teacher_deberta_large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YaHi/teacher_deberta_large") model = AutoModelForSequenceClassification.from_pretrained("YaHi/teacher_deberta_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab77577e8d7172ee775a8157cbc01bb33163581336ac202b9d15e4272dca76e4
- Size of remote file:
- 1.74 GB
- SHA256:
- 5dc63fde2da6de71aef5b4825c34360d5bb923cb39facd395be7bc31ca8886ca
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