Instructions to use goldandrabbit/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goldandrabbit/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="goldandrabbit/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("goldandrabbit/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("goldandrabbit/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f553633978c2eb8af73288dc8691aa5427c316a1059dfb13817b534eb4d86830
- Size of remote file:
- 433 MB
- SHA256:
- 145c94554b720588e0b6e822449e15919aa05672165175efdb1b1421f9281b44
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