Instructions to use seunbite/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seunbite/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seunbite/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seunbite/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("seunbite/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a05068c5ebca74995c9d1ee1440bd00cbc019caa6986ef4b2ac783486c7182e
- Size of remote file:
- 433 MB
- SHA256:
- 53a41af614eb16241b298a28d215565c5a3bb423d2cc87703265d9eadac4b1c6
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