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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:0dd8eb79516ba7bdff075a27f83d9d13e238418e24759e48d648373b38ebb373
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size 1109852784
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