Instructions to use whitefoxredhell/language_identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitefoxredhell/language_identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitefoxredhell/language_identification")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("whitefoxredhell/language_identification") model = AutoModelForSeq2SeqLM.from_pretrained("whitefoxredhell/language_identification") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -51,8 +51,12 @@ pip install bert-for-sequence classfication
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```python
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from bert_clf import EncoderCLF
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model = EncoderCLF("whitefoxredhell/language_identification")
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text = "London is the capital of Great Britain"
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```python
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from bert_clf import EncoderCLF
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import torch
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model = EncoderCLF("whitefoxredhell/language_identification")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = model.to(device)
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model = model.eval()
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text = "London is the capital of Great Britain"
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