Text Classification
Transformers
Safetensors
deberta-v2
single_label_classification
question-answering
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use saiteki-kai/QA-DeBERTa-v3-large-diff-binary-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saiteki-kai/QA-DeBERTa-v3-large-diff-binary-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saiteki-kai/QA-DeBERTa-v3-large-diff-binary-2")# Load model directly from transformers import AutoTokenizer, DebertaQADiff tokenizer = AutoTokenizer.from_pretrained("saiteki-kai/QA-DeBERTa-v3-large-diff-binary-2") model = DebertaQADiff.from_pretrained("saiteki-kai/QA-DeBERTa-v3-large-diff-binary-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca432204251d6197b69fb8cff233947e81476277cfeaa0e8f3b395fadadb5f4d
- Size of remote file:
- 5.97 kB
- SHA256:
- 049c4ac1233a8a4554a2fa24b15dd5015ac7d07fd8f006005133eee0235f646b
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