Instructions to use waelChafei/bertuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waelChafei/bertuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="waelChafei/bertuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("waelChafei/bertuned") model = AutoModelForSequenceClassification.from_pretrained("waelChafei/bertuned") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- tokenizer (1).json +0 -0
- tokenizer_config (1).json +1 -0
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{"do_lower_case": true, "model_max_length": 512}
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