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:
- 2db12b8f32836522229273d0e44c3a961c862625907444f11e7d193ff340f613
- Size of remote file:
- 3.52 kB
- SHA256:
- af287dcc884589c6dabb87f751cb04af9a11a746e728505d8cb24b091e0040c8
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