Instructions to use E-MIMIC/inclusively-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use E-MIMIC/inclusively-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="E-MIMIC/inclusively-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("E-MIMIC/inclusively-classification") model = AutoModelForSequenceClassification.from_pretrained("E-MIMIC/inclusively-classification") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
37316da | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bc383b5651db0bb264bad9740e8b854a6208441cb65120005c8af42af3496518
size 2991
|