Instructions to use HugoGiddins/is_call_deberta_v3_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HugoGiddins/is_call_deberta_v3_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HugoGiddins/is_call_deberta_v3_small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HugoGiddins/is_call_deberta_v3_small") model = AutoModelForSequenceClassification.from_pretrained("HugoGiddins/is_call_deberta_v3_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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tokenizer_config: drop transformers-5-only extra_special_tokens list (breaks 4.x load)
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Upload tokenizer
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Upload DebertaV2ForSequenceClassification
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initial commit
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