Instructions to use 9au5a/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 9au5a/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="9au5a/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("9au5a/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("9au5a/test_trainer") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
728656e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2c7549c5ae8632554fb2ef6fd80057df4a062886e5ce42b3c0784ee8a986cf0e
size 4027
|