Uploaded February 2023 | Updated September 2026, 2 weeks ago
In this video, I'm showing you how to train a Hugging Face Transformer model capable of identifying 102 languages with 99%+ accuracy. I also use the Optimum Intel library and Intel OpenVINO to reduce latency by 3X :)
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- Model and code: huggingface.co/juliensimon/xlm-v-base-language-id
- Space: huggingface.co/spaces/juliensimon/xlm-v-base-language-id
- Base model: huggingface.co/facebook/xlm-v-base
- Dataset: huggingface.co/datasets/google/fleurs
- Optimum Intel: github.com/huggingface/optimum-intel
In this video, I'm showing you how to train a Hugging Face Transformer model capable of identifying 102 languages with 99%+ accuracy. I also use the Optimum Intel library and Intel OpenVINO to reduce latency by 3X :)
⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos ⭐️⭐️⭐️
⭐️⭐️⭐️ Want to buy me a coffee? I can always use more :) buymeacoffee.com/julsimon ⭐️⭐️⭐️
- Model and code: huggingface.co/juliensimon/xlm-v-base-language-id
- Space: huggingface.co/spaces/juliensimon/xlm-v-base-language-id
- Base model: huggingface.co/facebook/xlm-v-base
- Dataset: huggingface.co/datasets/google/fleurs
- Optimum Intel: github.com/huggingface/optimum-intel










