Instructions to use Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model") model = AutoModelForSequenceClassification.from_pretrained("Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Your Model Name
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**Fine_Tuned_HF_Language_Identification_Model:** Language Identification Model
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## Description
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This model is a language identification model that can classify text into different languages. It has been fine-tuned to identify languages such as English, French, German, Arabic, and Russian. This model is built on the XLM-RoBERTa architecture and is capable of achieving high accuracy in language identification tasks.
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# Your Model Name
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**Fine_Tuned_HF_Language_Identification_Model:** Language Identification Model
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<img src="https://miro.medium.com/v2/resize:fit:1400/1*G5AyGtaUAQBcVLikpxu6CQ.png">
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## Description
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This model is a language identification model that can classify text into different languages. It has been fine-tuned to identify languages such as English, French, German, Arabic, and Russian. This model is built on the XLM-RoBERTa architecture and is capable of achieving high accuracy in language identification tasks.
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