Instructions to use bumblebee-testing/tiny-random-SmolLM3Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-SmolLM3Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bumblebee-testing/tiny-random-SmolLM3Model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-SmolLM3Model") model = AutoModel.from_pretrained("bumblebee-testing/tiny-random-SmolLM3Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c35997a36985f3ca8e6e49377088e7b9c030cebd146e34a65b53326c42528ffb
- Size of remote file:
- 195 kB
- SHA256:
- 8b0872d496e30f616da827ac94c99c308e493a81c37711a3d45bc71aa8eec6e1
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