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
- Xet hash:
- 2b97d6e8395d2d37347e57eb5406edbf0dbd825e9344c7480b879b4e60f6b0d8
- Size of remote file:
- 1.11 GB
- SHA256:
- cc6471146477f8016a90a3de5f42e0c69977f919483d80812bd84baf51e07648
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