Instructions to use hossamamer12/OUTPUT_KD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hossamamer12/OUTPUT_KD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hossamamer12/OUTPUT_KD")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hossamamer12/OUTPUT_KD") model = AutoModelForSequenceClassification.from_pretrained("hossamamer12/OUTPUT_KD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload tokenizer
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Upload BertForSequenceClassification
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Training in progress, step 1000
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Training in progress, step 500
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initial commit
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