Instructions to use hf-internal-testing/tiny-random-MobileBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-MobileBertForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MobileBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-MobileBertForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73ea68866731c4c586567f04aa9dc0f6cab223fe6b9366f2fe9fc59a2a6da7c7
- Size of remote file:
- 2.8 MB
- SHA256:
- 3f4f24e5076f70b14706ce1c5a6aa83ddc642bbfecc83f2aff23d3a74aa88650
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