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
File size: 74 Bytes
60d1e33 | 1 2 3 4 5 6 7 8 | {
"[CLS]": 2,
"[MASK]": 4,
"[PAD]": 0,
"[SEP]": 3,
"[UNK]": 1
}
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