Instructions to use rpii2023/naya_token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rpii2023/naya_token with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rpii2023/naya_token")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("rpii2023/naya_token") model = AutoModelForTokenClassification.from_pretrained("rpii2023/naya_token") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:097e7fe1c1b18cbb732f798819841cc7f46af05cdde82e7aa599fc5199398011
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size 501344368
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