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:
- 9645bdb68799252ddc7f6878524ad178367e7711675f570ed858bdb5076a4826
- Size of remote file:
- 3.11 MB
- SHA256:
- 8e0b71c27bb30f956140b767b27aff2846519410afff7d6720178755bae060cb
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