Instructions to use akash418/bert-tiny-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akash418/bert-tiny-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="akash418/bert-tiny-test")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("akash418/bert-tiny-test") model = AutoModel.from_pretrained("akash418/bert-tiny-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a856689c22c90c065eecccaaaadcb91200b5acca2c0b2811e07d5373e993811
- Size of remote file:
- 3.78 MB
- SHA256:
- b627f790b26447b5a555561686cfa95202a4361f6b8b6870f1067c8830a80c50
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