Instructions to use guyhadad01/deberta-large-twitter-pop-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guyhadad01/deberta-large-twitter-pop-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="guyhadad01/deberta-large-twitter-pop-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("guyhadad01/deberta-large-twitter-pop-binary") model = AutoModelForSequenceClassification.from_pretrained("guyhadad01/deberta-large-twitter-pop-binary") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:36d15028ad9b95477df1a35e2ae52ea5ebf11c4332de3918f1d0216a778e8fca
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size 498617024
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