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
Download flax_model.msgpack from seduerr/lang_det: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/seduerr/lang_det/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://seduerr/lang_det/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/seduerr/lang_det/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- 41505bf763110893f8d5f83e2e70b55043d080a593ad3b93c7b8bbaa26644f80
- Size of remote file:
- 242 MB
- SHA256:
- 5cf76ce7e4de08612f167e42726ff7d54503e12ae06e9f3cfbd4070c0ac396c4
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