Instructions to use TTian/deberta-classifier-feedback-1024-pseudo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TTian/deberta-classifier-feedback-1024-pseudo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TTian/deberta-classifier-feedback-1024-pseudo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TTian/deberta-classifier-feedback-1024-pseudo") model = AutoModelForTokenClassification.from_pretrained("TTian/deberta-classifier-feedback-1024-pseudo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 349bb83df2d2481aaefdff9e00d81eb80f313733fdc2d8a24b106a38b6551d0d
- Size of remote file:
- 3.38 kB
- SHA256:
- 999dfba139c417e683ee2487abfe8c80abecda8cca8b2fa46ffa2975a1f4118d
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