Instructions to use Razan/QAIDeptModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Razan/QAIDeptModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Razan/QAIDeptModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Razan/QAIDeptModel") model = AutoModelForMaskedLM.from_pretrained("Razan/QAIDeptModel") - Notebooks
- Google Colab
- Kaggle
update model card README.md
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README.md
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- Transformers 4.11.3
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- Pytorch 1.9.0+cu111
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- Datasets 1.13.
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- Tokenizers 0.10.3
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- Datasets 1.13.3
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- Tokenizers 0.10.3
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