Instructions to use teknow/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teknow/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teknow/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teknow/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("teknow/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b92541f5942d68bc3308ab49a342b19e5d335fb5753ce3f8dfa04ba4c44293d
- Size of remote file:
- 433 MB
- SHA256:
- 21cfcf7f8ab1690d36ff0fcac869b5898c5126b01c219b2987898bea1fd24ab0
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