Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use dancrvlh/Language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dancrvlh/Language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dancrvlh/Language")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dancrvlh/Language") model = AutoModelForSequenceClassification.from_pretrained("dancrvlh/Language") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9af46900510933e2c40576a58478ee961f4cd86a940191da47989378b1af6c0
- Size of remote file:
- 3.96 kB
- SHA256:
- 0ab1ac599973444926856590d99028470f5ac420435dc590127727aa48ad18c7
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