Instructions to use SAVSNET/PetBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAVSNET/PetBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SAVSNET/PetBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SAVSNET/PetBERT") model = AutoModelForMaskedLM.from_pretrained("SAVSNET/PetBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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### Model Sources
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- **Repository:** https://github.com/SAVSNET/PetBERT
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- **Paper
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## How to Get Started with the Model
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### Model Sources
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- **Repository:** https://github.com/SAVSNET/PetBERT
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- **Paper:** https://www.nature.com/articles/s41598-023-45155-7
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## How to Get Started with the Model
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