Instructions to use IndianaUniversityDatasetsModels/test-BB2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IndianaUniversityDatasetsModels/test-BB2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IndianaUniversityDatasetsModels/test-BB2") model = AutoModelForSeq2SeqLM.from_pretrained("IndianaUniversityDatasetsModels/test-BB2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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## Model Details
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### Model Description
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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## Inputs and Outputs
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- **Expected Input: " [Problems] + Text"
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- **Target Output: " [findings] + Text [impression] + Text"
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## Model Details
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### Model Description
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