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:
- 4c754e3b206c1d226a761284a9807e2a15a4f5365056acbae3d0a645946dce35
- Size of remote file:
- 2.91 MB
- SHA256:
- f34c72a3eb22adb0808e1bd724cc9dcc2b187220c5ced7e7a4df2b899db429d3
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