Text Classification
Transformers
TensorBoard
Safetensors
French
English
deberta-v2
Generated from Trainer
name
person
company
text-embeddings-inference
Instructions to use ele-sage/mdeberta-v3-base-name-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ele-sage/mdeberta-v3-base-name-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ele-sage/mdeberta-v3-base-name-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ele-sage/mdeberta-v3-base-name-classifier") model = AutoModelForSequenceClassification.from_pretrained("ele-sage/mdeberta-v3-base-name-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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It is maintained here for archival purposes only.
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### ✅ Recommended Replacement:
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Please switch to **[ele-sage/mdeberta-v3-base-name-classifier-v2](https://huggingface.co/ele-sage/mdeberta-v3-base-name-classifier-
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# mdeberta-v3-base-name-classifier
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It is maintained here for archival purposes only.
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### ✅ Recommended Replacement:
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Please switch to **[ele-sage/mdeberta-v3-base-name-classifier-v2](https://huggingface.co/ele-sage/mdeberta-v3-base-name-classifier-v2)** (Higher Accuracy).
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# mdeberta-v3-base-name-classifier
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