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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ded470171117be265da8eb4af4e20d75618121c2d78ed84f57fe822b896ae0da
- Size of remote file:
- 910 kB
- SHA256:
- 5738346c9f77f1d8c80b4e73419138cbd797b2cd408aac10a8ba16d2556c4374
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