Instructions to use WHJ1998/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WHJ1998/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WHJ1998/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WHJ1998/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("WHJ1998/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d80bec1064f54cc219b2905181dceb2af9ccecd12dd68224f911cd6c4c1648f
- Size of remote file:
- 3.9 kB
- SHA256:
- c79b2eb32820875c52f630d341d52da1c413d9fd792c5979584bb53217052a1e
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