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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from bumblebee-testing/tiny-random-SmolLM3Model: direct link, hf CLI and curl.
- Browser
- Download file 195 kB
-
https://huggingface.co/bumblebee-testing/tiny-random-SmolLM3Model/resolve/main/model.safetensors
- Command line
-
hf download hf://bumblebee-testing/tiny-random-SmolLM3Model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bumblebee-testing/tiny-random-SmolLM3Model/resolve/main/model.safetensors
195 kB
- Xet hash:
- c35997a36985f3ca8e6e49377088e7b9c030cebd146e34a65b53326c42528ffb
- Size of remote file:
- 195 kB
- SHA256:
- 8b0872d496e30f616da827ac94c99c308e493a81c37711a3d45bc71aa8eec6e1
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