Instructions to use google/tapas-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/tapas-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/tapas-tiny") model = AutoModel.from_pretrained("google/tapas-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from google/tapas-tiny: direct link, hf CLI and curl.
- Browser
- Download file 18.1 MB
-
https://huggingface.co/google/tapas-tiny/resolve/main/tf_model.h5
- Command line
-
hf download hf://google/tapas-tiny/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/google/tapas-tiny/resolve/main/tf_model.h5
18.1 MB
- Xet hash:
- 1ff283988b7650a3e633f1dd23227a3e11bdce3de5e5bd411464fbbe00e48bc9
- Size of remote file:
- 18.1 MB
- SHA256:
- 7a120662cc7bdbda5e88c97368e41b6d8e6781cb40207f4a9643eccb364cc519
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