Instructions to use WilliamWen/unit_cata_IO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WilliamWen/unit_cata_IO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="WilliamWen/unit_cata_IO")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("WilliamWen/unit_cata_IO") model = AutoModelForTokenClassification.from_pretrained("WilliamWen/unit_cata_IO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a09b6a127355cb94e69c0c192daba2b81c23e53feb9ddb87a9410c62cd43a689
- Size of remote file:
- 712 kB
- SHA256:
- 881fa1cae69b9dcb65a3a39328e1edde016ea17b23aab92781ab403f30d09d45
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