Instructions to use Reza-Madani/test-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reza-Madani/test-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Reza-Madani/test-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Reza-Madani/test-bert-base") model = AutoModelForTokenClassification.from_pretrained("Reza-Madani/test-bert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a4ea4fe495b6836e751ab3704c1ffc8bbd904f6da1e38cad6e204bfaf0224b8
- Size of remote file:
- 3.52 kB
- SHA256:
- effc0c7341f3df8b1994ca3804961af9478ff8a5a316d91ee2b128ab511a04a8
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