Instructions to use uhhlt/roberta-binary-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uhhlt/roberta-binary-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uhhlt/roberta-binary-classifier", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uhhlt/roberta-binary-classifier") model = AutoModelForSequenceClassification.from_pretrained("uhhlt/roberta-binary-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ce5cfc2201359c2b48a3fab8fa80e04ec081f9ee0f0dbea23c7e7754cd291d2
- Size of remote file:
- 1.42 GB
- SHA256:
- 144a9681fa6ce5cb6461449fd1f5e6f407be4c70da0bb4d2cce783bd88a051bf
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