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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{"name": "test_pipeline", "version": "0.1.0", "description": "A test pipeline for ModelManager testing purposes", "author": "Inga Ulusoy", "email": "inga.ulusoy@uni-heidelberg.de", "url": "https://github.com/ssciwr/moralization", "license": "MIT"}
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