Instructions to use hf-internal-testing/tiny-bert-for-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-bert-for-token-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-bert-for-token-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-for-token-classification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-bert-for-token-classification", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aaab2fff65c4fb8c61b2389b44f85ad2701dc555215d1212c8631bc961776f4
- Size of remote file:
- 146 kB
- SHA256:
- 4e6c5a850287ee371b9c2c74ba1c9b10a85ce0436c0e53685903caa635dd2aa3
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