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
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Check out the documentation for more information.
Pre-trained to have better reasoning ability, try this if you are working with task like QA. For more details please see https://openreview.net/forum?id=cGB7CMFtrSx
This is based on tapas-base(no_reset) model and pre-trained for table input
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