Instructions to use mjaydenkim/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjaydenkim/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mjaydenkim/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mjaydenkim/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("mjaydenkim/test_trainer") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
9d609d0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2d09e699e77c2354244a8f3d4f4ae8083934893de227551b2f6e939d4317cba1
size 3963
|