Instructions to use UFNLP/gatortron-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UFNLP/gatortron-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UFNLP/gatortron-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
fix typo
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by avinashr175 - opened
README.md
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@@ -30,11 +30,11 @@ gatortron-large | 8.9 billion
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```python
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from transformers import AutoModel, AutoTokenizer, AutoConfig
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config=AutoConfig.from_pretrained('UFNLP/gatortron-base')
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mymodel=AutoModel.from_pretrained('UFNLP/gatortron-base')
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encoded_input=
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encoded_output = mymodel(**encoded_input)
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print (encoded_output)
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```python
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from transformers import AutoModel, AutoTokenizer, AutoConfig
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tokenizer= AutoTokenizer.from_pretrained('UFNLP/gatortron-base')
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config=AutoConfig.from_pretrained('UFNLP/gatortron-base')
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mymodel=AutoModel.from_pretrained('UFNLP/gatortron-base')
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encoded_input=tokenizer("Bone scan: Negative for distant metastasis.", return_tensors="pt")
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encoded_output = mymodel(**encoded_input)
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print (encoded_output)
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