Instructions to use ashabrawy/ST-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashabrawy/ST-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ashabrawy/ST-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ashabrawy/ST-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("ashabrawy/ST-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df8f0178f1fbb87435e06e3070c3fb17e5312d47fcd06403068e5b72def76bda
- Size of remote file:
- 4.66 kB
- SHA256:
- 0f3f346d6f93e02e1b72e7042ec8de539654073a7418c4a18624c75964397f7e
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