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", device_map="auto")# 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 701779823e62d0477519f8fd65d92ae201a446af287ecb2d78cd12f6e3520f5c
- Size of remote file:
- 2.52 MB
- SHA256:
- c3a1d7188566de907c3e51c727d2dde288a6d55e8be6fa1d8dc568d2169e7c88
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