Instructions to use gechim/metadata-cls_15_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gechim/metadata-cls_15_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gechim/metadata-cls_15_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gechim/metadata-cls_15_10") model = AutoModelForSequenceClassification.from_pretrained("gechim/metadata-cls_15_10") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
13b3e57 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8ef3434a86578a825cfa0100e171d6ff2d518efbd36b316f2d161db8e18a6099
size 5176
|