Instructions to use software-si/change-language-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use software-si/change-language-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="software-si/change-language-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("software-si/change-language-intent") model = AutoModelForSequenceClassification.from_pretrained("software-si/change-language-intent") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- `french`
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It recognizes even other class of text like:
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- `other` (generic sentences not related to language switching)
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- `not_allowed` (unsupported languages)
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## 📊 Training Data
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- `french`
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## It recognizes even other class of text like:
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- `other` (generic sentences not related to language switching)
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- `not_allowed` (unsupported languages)
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## 📊 Training Data
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