Instructions to use rpii2023/naya_v2_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rpii2023/naya_v2_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rpii2023/naya_v2_model", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("rpii2023/naya_v2_model") model = AutoModelForTokenClassification.from_pretrained("rpii2023/naya_v2_model", device_map="auto") - 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:bf62539954e580782dc42ef83b3c6b290cd5f07f8c428eee15ec2242660aef1a
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size 802054976
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