Instructions to use ModelTC/roberta-base-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/roberta-base-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-rte") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/roberta-base-rte") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38d8f6d242839c4b8708bbf347efa0d324969871fe5075ac96dd831e413f9d7f
- Size of remote file:
- 3.06 kB
- SHA256:
- 26d756f7d0d0350688dc0b99497cc50be5c0cb31e741e1545025d3ef34d7e623
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