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")# 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
- Xet hash:
- c3662f989a0f742f9bd476d3d4dc53045b042bd6e74c52774fe3dd4261e153ef
- Size of remote file:
- 433 MB
- SHA256:
- 370ff03698c998c3a98bfc5eb64053f4046eab460b116a97207506145bbec52c
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