Instructions to use akibc123/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akibc123/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akibc123/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akibc123/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("akibc123/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 219db4cf12ead46246f830b35197ef08f6a70f9ae8234440b3c790add2dafbf3
- Size of remote file:
- 5.11 kB
- SHA256:
- d61b72df526d45de7d1472b6242ba942ba5b2f302bcca50c9098872ec2dc104e
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