Instructions to use havocy28/VetBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use havocy28/VetBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="havocy28/VetBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("havocy28/VetBERT") model = AutoModelForPreTraining.from_pretrained("havocy28/VetBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# VetBERT Pretrained model for Veterinary Clinical Tasks
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This is the pretrained VetBERT model from the github repo: [https://github.com/havocy28/VetBERT](https://github.com/havocy28/VetBERT)
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<!-- Provide a quick summary of what the model is/does. -->
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# VetBERT Pretrained model for Veterinary Clinical Tasks
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<p align="center">
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<img src="vetbert.jpg" alt="VetBERT" width="300"/>
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</p>
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This is the pretrained VetBERT model from the github repo: [https://github.com/havocy28/VetBERT](https://github.com/havocy28/VetBERT)
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<!-- Provide a quick summary of what the model is/does. -->
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