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:
- 53baac1ec8c2bfc766503d1ca2066657a2500284cb3a6da9f0dfd65b0ce72344
- Size of remote file:
- 4.41 kB
- SHA256:
- 058fd80fcebfb85f8eeb8240fa0b1f8c8e7099601e307ee0632177305354804b
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