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 AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BrosForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-BrosForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc131eb6056e215a7d32fbab648e5fb69b371b03e689bf31ee6199fecc87d923
- Size of remote file:
- 890 kB
- SHA256:
- 1fe07a4054362bd1034ba99a3c71ec1d8f1b5d3c34487545e7c4420b715ad678
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