Instructions to use hf-internal-testing/tiny-random-BrosForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BrosForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-BrosForTokenClassification")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-BrosForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-BrosForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 936869e97c2b8012d524ed2f63132bab2c9cd0e0b6e0ef0a209a729c4d8ec812
- Size of remote file:
- 910 kB
- SHA256:
- e9c4212ae5de0eb676d2321746fd29e3ea59d3596ebdbb4aa753ffdc0db155e1
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