Instructions to use bumblebee-testing/tiny-random-SmolLM3ForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-SmolLM3ForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="bumblebee-testing/tiny-random-SmolLM3ForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-SmolLM3ForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("bumblebee-testing/tiny-random-SmolLM3ForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 349830a7e3793ac04c61ee50b75c8fcad14892c06054a5625218179935b65849
- Size of remote file:
- 195 kB
- SHA256:
- af407a4b597dc542986e60c5bb27cc314b5487f28e39edb41f4da3b96e210746
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