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:
- 3dbe302b7ddd1957b33a93ef1acd29659c835b901e9e6f6f98dd8ff778953c8c
- Size of remote file:
- 623 Bytes
- SHA256:
- 8395222c8dc331faa742bb05c15249792dfc4e1e6325c0607e91eb2cdbf54562
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