Instructions to use wahdan99/biobert-finetuned-genetic-mutation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wahdan99/biobert-finetuned-genetic-mutation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wahdan99/biobert-finetuned-genetic-mutation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wahdan99/biobert-finetuned-genetic-mutation") model = AutoModelForSequenceClassification.from_pretrained("wahdan99/biobert-finetuned-genetic-mutation") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
biobert finetuned for genetic mutation
In this model I have finetuned the biobert model on the Personalized Medicine: Redefining Cancer Treatment kaggle dataset which is a clinical text dataset, and There are nine different classes a genetic mutation can be classified into.
How to use this model
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("wahdan99/biobert-finetuned-genetic-mutation")
model = AutoModelForSequenceClassification.from_pretrained("wahdan99/biobert-finetuned-genetic-mutation")
Evaluation
| evaluation metric | evaluation value |
|---|---|
| train loss | 0.639870 |
| validation loss | 0.824237 |
| f1 score | 0.733120 |
| accuracy | 0.728585 |
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