Instructions to use rach405/test_trainer5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rach405/test_trainer5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rach405/test_trainer5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rach405/test_trainer5") model = AutoModelForSequenceClassification.from_pretrained("rach405/test_trainer5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
75c3617 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2b928dcab489802c00b5e775adc164fcf86075520410fcb7e5194418b77561a1
size 2991
|