Instructions to use HealthNLP/pubmedbert_conmod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HealthNLP/pubmedbert_conmod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HealthNLP/pubmedbert_conmod")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HealthNLP/pubmedbert_conmod") model = AutoModelForSequenceClassification.from_pretrained("HealthNLP/pubmedbert_conmod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 291 Bytes
1332f08 | 1 2 3 4 5 6 7 8 9 10 | {
"epoch": 10.0,
"eval_accuracy": 0.81431645154953,
"eval_f1": "[0.92816572 0.56028369 0.1 0.2633452 ]",
"eval_loss": 0.6886363625526428,
"eval_runtime": 7.7747,
"eval_samples": 1858,
"eval_samples_per_second": 238.981,
"eval_steps_per_second": 3.859
} |