Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use intermezzo672/NHS-binary-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intermezzo672/NHS-binary-class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intermezzo672/NHS-binary-class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-binary-class") model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-binary-class") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
28ce2a5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f739c4c37b8ce47c8f6a8429d0b9611948aa21788db0f76e7977fe117d243f99
size 4536
|