Instructions to use bumblebee-testing/tiny-random-SmolLM3ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-SmolLM3ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bumblebee-testing/tiny-random-SmolLM3ForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-SmolLM3ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("bumblebee-testing/tiny-random-SmolLM3ForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- deae8a34aa62e680d0805ae3cce0e6d7ed6ca7519eb53269ed3b6927754a694c
- Size of remote file:
- 195 kB
- SHA256:
- d6dd06d214b296fea7f405162126a10492a90e918d79868be1c450049d76590d
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