Instructions to use mnaylor/bioclinical-bert-finetuned-mtsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnaylor/bioclinical-bert-finetuned-mtsamples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mnaylor/bioclinical-bert-finetuned-mtsamples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mnaylor/bioclinical-bert-finetuned-mtsamples") model = AutoModelForSequenceClassification.from_pretrained("mnaylor/bioclinical-bert-finetuned-mtsamples") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
BioClinical BERT Fine-tuned on MTSamples
This model is simply Alsentzer's Bio_ClinicalBERT fine-tuned on the MTSamples dataset, with a classification task defined in this repo.
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