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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d41bfccddfd43569dbc53c65838925b3824b4ddd1b5bb00d3ae120085395a99
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size 1740304440
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