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
- Xet hash:
- e4e40f81651951d514ebaac88a4a9181231c28ede91db590a642ba1c99ddd0c1
- Size of remote file:
- 431 MB
- SHA256:
- eef5dc7bcc99ed5cdf786552ffd6eff3900c76d44896765aa0dad09033e62479
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