Instructions to use textattack/albert-base-v2-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/albert-base-v2-RTE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/albert-base-v2-RTE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/albert-base-v2-RTE") model = AutoModelForSequenceClassification.from_pretrained("textattack/albert-base-v2-RTE") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a9cc3c4ae1360650668c793735d1fbd8e17d6cc75f85baf19d9bcbb51e77db6
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size 46747112
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