Instructions to use philschmid/tapex-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/tapex-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("philschmid/tapex-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("philschmid/tapex-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 496e83b94d47c3caa3b4f47385b8f06e22dbee8ec2a5d8283f25c7cb597e10be
- Size of remote file:
- 5.32 MB
- SHA256:
- 87ec3e80db75caa0c48b1619ad26a70ea02ce4fbb038b4314444194ec1107d9b
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