Instructions to use google/tapas-base-masklm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base-masklm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/tapas-base-masklm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/tapas-base-masklm") model = AutoModelForMaskedLM.from_pretrained("google/tapas-base-masklm") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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This model corresponds to tapas_masklm_base_reset of the [original repository](https://github.com/google-research/tapas).
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Here's how you can use it:
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This model corresponds to **tapas_masklm_base_reset** of the [original repository](https://github.com/google-research/tapas).
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Here's how you can use it:
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