Instructions to use muibk/opus_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muibk/opus_finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("muibk/opus_finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("muibk/opus_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from muibk/opus_finetuned: direct link, hf CLI and curl.
- Browser
- Download file 768 kB
-
https://huggingface.co/muibk/opus_finetuned/resolve/main/source.spm
- Command line
-
hf download hf://muibk/opus_finetuned/source.spm
-
curl -L -o source.spm https://huggingface.co/muibk/opus_finetuned/resolve/main/source.spm
768 kB
- Xet hash:
- af715de17eef393160f6163eb349c60878c1653403fefe5dff66b9a95b75b3ff
- Size of remote file:
- 768 kB
- SHA256:
- 678f2a1177d8389f67b66299762dcc4fc567e89b07e212ba91b0c56daecf47ce
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