Instructions to use vasudevgupta/amazon-ml-hack-bert-base-augment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/amazon-ml-hack-bert-base-augment with Transformers:
# Load model directly from transformers import AutoTokenizer, sifier tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/amazon-ml-hack-bert-base-augment") model = sifier.from_pretrained("vasudevgupta/amazon-ml-hack-bert-base-augment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 161ff80fbd6cced135e7d41c8cd5615dd8ef7cc0624b6f62871a739bc28e3aff
- Size of remote file:
- 468 MB
- SHA256:
- 5e744749ae7aba6fd06f78bb5023cdd56112a36812744144f8ab0c6af649acae
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