Instructions to use iulusoy/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iulusoy/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="iulusoy/test-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("iulusoy/test-model") model = AutoModelForTokenClassification.from_pretrained("iulusoy/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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- iulusoy/test-data-3
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language:
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- en
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license:
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metrics:
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- seqeval
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tags:
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- token classification
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language:
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license: mit
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metrics:
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- seqeval
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tags:
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- token classification
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--- '# Model description'
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