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:
- de01e5597fecda13684c6d3b7056c4b388eaee59955a263f7cf418d881fe4a7e
- Size of remote file:
- 436 MB
- SHA256:
- 2a54c14c78227c934a3be4c99318e24365027e8ffdd116030aff961ebe2a373a
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