Instructions to use Anonymous/ReasonBERT-TAPAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anonymous/ReasonBERT-TAPAS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Anonymous/ReasonBERT-TAPAS")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Anonymous/ReasonBERT-TAPAS") model = AutoModel.from_pretrained("Anonymous/ReasonBERT-TAPAS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c12d31e5d9c7d4acbb988d19635bbaebeeab8cc36a8748ca5501f5dc9cc8d422
- Size of remote file:
- 443 MB
- SHA256:
- b2880aa42046452cfc5f9e822526132964d2abb4e4fdbb45e02c9be1ea56e73c
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