Instructions to use hf-internal-testing/tiny-random-IBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-IBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-IBertForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-IBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-IBertForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71cf790b8f835b6f01ddbe6f6362e54def4d518de174792e47f22de4493380ea
- Size of remote file:
- 725 kB
- SHA256:
- f565c41bbf0b631ebb6031a1ff87c50dc95cc1c17d9fb35d4b3c8898f4919192
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