Instructions to use bumblebee-testing/tiny-random-SmolLM3ForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-SmolLM3ForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bumblebee-testing/tiny-random-SmolLM3ForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-SmolLM3ForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("bumblebee-testing/tiny-random-SmolLM3ForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 745547fb79f1f778b5b519979a2c4d4b8b3725cfc7f8b844110e559829501ffa
- Size of remote file:
- 195 kB
- SHA256:
- f4054753183f6d7756bb259289464426d7b86e712751e6990ffc7c6563ab5d08
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