Instructions to use bumblebee-testing/tiny-random-Qwen3ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-Qwen3ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bumblebee-testing/tiny-random-Qwen3ForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-Qwen3ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("bumblebee-testing/tiny-random-Qwen3ForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c2bad37c704d96c57ea65ee977ff4bf50b3cadd496de313c16cf6b648c8e073
- Size of remote file:
- 558 kB
- SHA256:
- eeef625a9fc8bd7b1285e00014f3b5faa2b5b3403ebee5b8549c1d0f2777434c
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