Instructions to use ethansimrm/opus_big_lsp_simple_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_big_lsp_simple_wce with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_big_lsp_simple_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_big_lsp_simple_wce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e681c57a5ceb6d6a30edd61fef148afd3fa897d41df8c43c121637063c53b766
- Size of remote file:
- 923 MB
- SHA256:
- 1ea1e94da9ffb4d90daa475eaaa5ce642b286bbfdf77f14a08fcaf28b89470a6
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