Instructions to use Pranavv/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pranavv/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pranavv/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pranavv/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("Pranavv/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d969da8366cfee0d1791ff1c8f6d92958aeb618f240b98cb84b61cb803a73395
- Size of remote file:
- 4.6 kB
- SHA256:
- e112b90ae76ee5b6c415a3a5d2186ad53683ce442b80d1963b94c8e63f24d80c
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