Instructions to use danitamayo/roberta_language_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danitamayo/roberta_language_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danitamayo/roberta_language_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danitamayo/roberta_language_detection") model = AutoModelForSequenceClassification.from_pretrained("danitamayo/roberta_language_detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:af24abeeff36f32b9a1c9ba06f1518a99880490fa799fafc2051d09dd5822fe9
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size 1112925924
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