Instructions to use jamesdborin/Roberta-Large-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesdborin/Roberta-Large-RTE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jamesdborin/Roberta-Large-RTE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jamesdborin/Roberta-Large-RTE") model = AutoModelForSequenceClassification.from_pretrained("jamesdborin/Roberta-Large-RTE") - Notebooks
- Google Colab
- Kaggle
Jamie@TitanML commited on
Commit ·
acde403
1
Parent(s): 6c94e83
uploading model
Browse filesRoberta-Large model trained on RTE
- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d6ba03e261199bee0857a3254ff4a840593d0e5630e24fa207d4398e3fb063a
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size 1421587189
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