Instructions to use Reza-Madani/test-small-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reza-Madani/test-small-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Reza-Madani/test-small-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Reza-Madani/test-small-bert") model = AutoModelForTokenClassification.from_pretrained("Reza-Madani/test-small-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e0147cac7a8e3ed079922289fbd7c4f8395cd31047fb317e734cc279f6c4339
- Size of remote file:
- 44.4 MB
- SHA256:
- 2cf321e7138d894dbd74e1ab3d97a00f04afaca0e5c63a90dcd499f6644f5e0f
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