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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f86f7fe9f2310dbcab73fa1b032b118a5bcd1eb8f2507c175945ce92ece17163
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size 1336432458
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