Instructions to use ModelTC/roberta-base-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/roberta-base-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/roberta-base-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ee57a66e9a569406df93ede9b8ce5bc9d1e8a1f589ff474067351ab8a5f37b6
- Size of remote file:
- 3.06 kB
- SHA256:
- b3bd3365e983cb7fca13ac172cb46455cfd98ededf724963b871ac5d163fcfc2
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