Instructions to use bumblebee-testing/tiny-random-Gemma3TextForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-Gemma3TextForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bumblebee-testing/tiny-random-Gemma3TextForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-Gemma3TextForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("bumblebee-testing/tiny-random-Gemma3TextForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63d358f7289dae69d240c613c214e7aa5453a7961f2fab1e36e85f0596f99e08
- Size of remote file:
- 954 kB
- SHA256:
- 78fc8a3ab37254845fcd03d640819179cef305fb6e23d7ca380a1f1c95c159cf
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