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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- Fine-Tuning: The model has been fine-tuned for language identification using a custom dataset containing text samples in various languages.
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- Evaluation Metrics: The model's performance is assessed using accuracy and F1-score for both per-language and overall model performance.
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## Usage
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To use this model for language identification, you can follow these steps:
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- Fine-Tuning: The model has been fine-tuned for language identification using a custom dataset containing text samples in various languages.
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- Evaluation Metrics: The model's performance is assessed using accuracy and F1-score for both per-language and overall model performance.
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## Corpus
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The corpus used for training is the corpus of © 2023 Universität Leipzig / Sächsische Akademie der Wissenschaften / InfAI.
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## Usage
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To use this model for language identification, you can follow these steps:
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