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
Adding `safetensors` variant of this model
#1
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:baa0c8b3a7a5b67e285da878f01b79948b8c3c7d9dde0c51a53a0b4e93fa1c67
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size 1736118252
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