Instructions to use Manirathinam21/Multilingual_lang_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manirathinam21/Multilingual_lang_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manirathinam21/Multilingual_lang_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manirathinam21/Multilingual_lang_detection") model = AutoModelForSequenceClassification.from_pretrained("Manirathinam21/Multilingual_lang_detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 1fcda03
colab sheet uploaded
Browse files
README.md
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## Training procedure
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Fine-tuning was done via the `Trainer` API. Here is the [Colab notebook](https://colab.research.google.com/drive/
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### Training hyperparameters
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## Training procedure
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Fine-tuning was done via the `Trainer` API. Here is the [Colab notebook](https://colab.research.google.com/drive/19T7RdCjXAmu_TXx0iPGP2CuxVoBHDhim?usp=sharing) with the training code.
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### Training hyperparameters
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