Instructions to use ramin153/bert-per-ai-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramin153/bert-per-ai-token-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ramin153/bert-per-ai-token-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ramin153/bert-per-ai-token-classification") model = AutoModelForTokenClassification.from_pretrained("ramin153/bert-per-ai-token-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This is the organization grouping all the models and datasets used in the Hugging Face course.
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