Instructions to use ImranzamanML/GEFS-language-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ImranzamanML/GEFS-language-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ImranzamanML/GEFS-language-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ImranzamanML/GEFS-language-detector") model = AutoModelForSequenceClassification.from_pretrained("ImranzamanML/GEFS-language-detector") - 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 sha256:49f100c4fbadefdddabe8939835d0bb1e9da61102d9122f0482769b94aa1221a
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size 1112215368
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