Instructions to use ncbi/MedCPT-Cross-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncbi/MedCPT-Cross-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ncbi/MedCPT-Cross-Encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ncbi/MedCPT-Cross-Encoder") model = AutoModelForSequenceClassification.from_pretrained("ncbi/MedCPT-Cross-Encoder") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 74 Bytes
2bd0534 | 1 2 3 4 5 6 7 8 | {
"[CLS]": 2,
"[MASK]": 4,
"[PAD]": 0,
"[SEP]": 3,
"[UNK]": 1
}
|