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language-detection-lstm
Jyotiprakash4357/language-detection-lstm
language-detection-lstm is a machine learning model from Jyotiprakash4357. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Character-level Bidirectional LSTM trained on papluca/language-identification.
Access
Public
Updated Mar 9, 2026
Repo size
9.6 MB
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Repo makeup
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.pt9.6 MB · 100%
At a glance
- Access
- Public
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026
- SHA
- 09ea8a5e
Model card
From the Hugging Face model README
Language Detection LSTM
Character-level Bidirectional LSTM trained on papluca/language-identification.
Supports 20 Languages
Arabic, Bulgarian, German, Greek, English, Spanish, French, Hindi, Italian, Japanese, Dutch, Polish, Portuguese, Russian, Swahili, Thai, Turkish, Urdu, Vietnamese, Chinese
Performance
- Val Accuracy: ~98.9%
- Test Accuracy: ~98%+
Usage
import torch, pickle
from huggingface_hub import hf_hub_download
char2idx = pickle.load(open(hf_hub_download("Jyotiprakash4357/language-detection-lstm", "char2idx.pkl"), "rb"))
le = pickle.load(open(hf_hub_download("Jyotiprakash4357/language-detection-lstm", "label_encoder.pkl"), "rb"))
model = LangLSTM(len(char2idx), 64, 256, 2, len(le.classes_))
model.load_state_dict(torch.load(hf_hub_download("Jyotiprakash4357/language-detection-lstm", "lang_lstm.pt"), map_location="cpu"))
predict("Bonjour le monde") # → [('fr', 0.99), ...]
- Languages
- multilingual
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026