Instructions to use seduerr/lang_det with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/lang_det with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seduerr/lang_det") model = AutoModelForSeq2SeqLM.from_pretrained("seduerr/lang_det", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f2d8e6939ac2bc3743fcec16e0571e07b372153a13d0c0116fe8b69cc67a203
- Size of remote file:
- 242 MB
- SHA256:
- b8b031f728651d4ea8678d96692f554c0f81720ea4512d1699a7a7e15e28dc28
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