Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Yashodhar29/deberta-v3-base-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yashodhar29/deberta-v3-base-cpp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yashodhar29/deberta-v3-base-cpp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yashodhar29/deberta-v3-base-cpp") model = AutoModelForSequenceClassification.from_pretrained("Yashodhar29/deberta-v3-base-cpp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56bb93a55ad96c1d8e45623febae8234a107db5dca05e782cf636f5ab4db891e
- Size of remote file:
- 568 MB
- SHA256:
- 369e08e5c1f1fa178e1500073abfe6f05bbfab334a4136668dbc5e103383c76d
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