Instructions to use hf-internal-testing/tiny-random-BloomForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BloomForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-BloomForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BloomForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-BloomForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ad695eddfdf883d05275bca55bfa0e6a1d71704271079360af81d6d3b1d36a3
- Size of remote file:
- 393 kB
- SHA256:
- b93c03cf0032e3056526a5587cb69b3152a847bb2d4c8bd338b08f5c79518b95
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