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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 625afaa9ac9a62852ec12e4cfe9e675a2f4c73874a3ec8244446f60156cb154b
- Size of remote file:
- 499 MB
- SHA256:
- a24ce1777329370e76eea9886c534275af6c354961832301130293f65e7a7500
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