Instructions to use Reza-Madani/selector-bert-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reza-Madani/selector-bert-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Reza-Madani/selector-bert-medium")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Reza-Madani/selector-bert-medium") model = AutoModelForTokenClassification.from_pretrained("Reza-Madani/selector-bert-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93463342c568bbe9e20eeb4676939d530d8fa4de29d48e927337d025575df6c3
- Size of remote file:
- 164 MB
- SHA256:
- 47df05d490e321b0dde4ced199fe5417492dbe61de7eff751b145059dad40513
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