Instructions to use hf-internal-testing/tiny-random-NystromformerForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NystromformerForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-NystromformerForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-NystromformerForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-NystromformerForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-internal-testing/tiny-random-NystromformerForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 2.27 MB
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https://huggingface.co/hf-internal-testing/tiny-random-NystromformerForTokenClassification/resolve/bbf1b69fe2bb5ab19391dd91a696659005a2d6ba/tokenizer.json
- Command line
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hf download hf://hf-internal-testing/tiny-random-NystromformerForTokenClassification@bbf1b69fe2bb5ab19391dd91a696659005a2d6ba/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-NystromformerForTokenClassification/resolve/bbf1b69fe2bb5ab19391dd91a696659005a2d6ba/tokenizer.json
2.27 MB
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