Instructions to use ethansimrm/opus_base_fine_freq_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_fine_freq_wce with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_fine_freq_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_fine_freq_wce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2673ce27957e99fdc8dfb259e251328214bd267628f2aec3b40e3721d903fc12
- Size of remote file:
- 627 Bytes
- SHA256:
- 510fc89adea15071db8c3934ea1fa2c117901f9a1f6074bdec2fb0efd2696b52
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