Instructions to use msislam/code-mixed-language-detection-XLMRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msislam/code-mixed-language-detection-XLMRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="msislam/code-mixed-language-detection-XLMRoberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("msislam/code-mixed-language-detection-XLMRoberta") model = AutoModelForTokenClassification.from_pretrained("msislam/code-mixed-language-detection-XLMRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (77df00846635e8ecf471519d3345ce7d2b5c50ec) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3334db1
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