Instructions to use keonju/deberta_senti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keonju/deberta_senti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keonju/deberta_senti")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keonju/deberta_senti") model = AutoModelForSequenceClassification.from_pretrained("keonju/deberta_senti") - 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 sha256:2d534a998cc8f20e4e3bfdc446202cf732b0a12d5e53b0e4277de4fd8f64a8e7
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size 1115275476
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