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 .gitattributes from google/tapas-tiny: direct link, hf CLI and curl.
- Browser
- Download file 399 Bytes
-
https://huggingface.co/google/tapas-tiny/resolve/refs%2Fpr%2F1/.gitattributes
- Command line
-
hf download hf://google/tapas-tiny@refs/pr/1/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/google/tapas-tiny/resolve/refs%2Fpr%2F1/.gitattributes
399 Bytes
| *.bin.* filter=lfs diff=lfs merge=lfs -text | |
| *.lfs.* filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.h5 filter=lfs diff=lfs merge=lfs -text | |
| *.tflite filter=lfs diff=lfs merge=lfs -text | |
| *.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| *.ot filter=lfs diff=lfs merge=lfs -text | |
| *.onnx filter=lfs diff=lfs merge=lfs -text | |
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |