Instructions to use sadanyh/Dialect-MSA-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sadanyh/Dialect-MSA-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sadanyh/Dialect-MSA-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sadanyh/Dialect-MSA-detection") model = AutoModelForSequenceClassification.from_pretrained("sadanyh/Dialect-MSA-detection") - 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 sha256:0ec2daf121dccb85a5b687f2fc6e135eaa3a471366aef45f249b8cd71e898f66
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size 1114567576
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