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-mDeBERTa-v3-large-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saiteki-kai/QA-mDeBERTa-v3-large-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saiteki-kai/QA-mDeBERTa-v3-large-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saiteki-kai/QA-mDeBERTa-v3-large-binary") model = AutoModelForSequenceClassification.from_pretrained("saiteki-kai/QA-mDeBERTa-v3-large-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from saiteki-kai/QA-mDeBERTa-v3-large-binary: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/saiteki-kai/QA-mDeBERTa-v3-large-binary/resolve/main/training_args.bin
- Command line
-
hf download hf://saiteki-kai/QA-mDeBERTa-v3-large-binary/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/saiteki-kai/QA-mDeBERTa-v3-large-binary/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 538acaba5b27bacd96a255fafb7be72ae43851877617986f725fced94706acb5
- Size of remote file:
- 5.91 kB
- SHA256:
- 4a51e43517c1b76ee61917cc3c742084b555e9079f55724cc7b813bc6ced656d
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