Text Classification
Transformers
PyTorch
Safetensors
deberta-v2
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use nfliu/deberta-v3-large_boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nfliu/deberta-v3-large_boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nfliu/deberta-v3-large_boolq")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nfliu/deberta-v3-large_boolq") model = AutoModelForSequenceClassification.from_pretrained("nfliu/deberta-v3-large_boolq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b2ec661d6851e81ee13a839852e5909f93f95311) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>9df67c2
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