Instructions to use mbouilloud/unbalanced_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbouilloud/unbalanced_deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mbouilloud/unbalanced_deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mbouilloud/unbalanced_deberta") model = AutoModelForSequenceClassification.from_pretrained("mbouilloud/unbalanced_deberta") - 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:ca7b0958b6008a2ca42d2d1ac3be6dd74012f76ad7ce677b286d30a331e4ceea
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size 556803760
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