Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use jagadeesr/text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jagadeesr/text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jagadeesr/text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jagadeesr/text_classifier") model = AutoModelForSequenceClassification.from_pretrained("jagadeesr/text_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 303093beaf8d8c5b9dcd10add63df7b03b44786125159a85259a2db445d9c9c6
- Size of remote file:
- 4.73 kB
- SHA256:
- 93d5ba6c460dbbe882331b09954dde125a68be2139f12502e0469c70d79957f8
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