Instructions to use ethansimrm/opus_base_simple_freq_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_simple_freq_wce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_simple_freq_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_simple_freq_wce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ethansimrm/opus_base_simple_freq_wce: direct link, hf CLI and curl.
- Browser
- Download file 3.84 kB
-
https://huggingface.co/ethansimrm/opus_base_simple_freq_wce/resolve/main/training_args.bin
- Command line
-
hf download hf://ethansimrm/opus_base_simple_freq_wce/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ethansimrm/opus_base_simple_freq_wce/resolve/main/training_args.bin
3.84 kB
- Xet hash:
- 0f109d95c200b58cf43798b798cc3b19ace5f17c99d9618ab7e94908859179c3
- Size of remote file:
- 3.84 kB
- SHA256:
- d84e5a6c16cedb85a269964ac0820de47b0330360a6c003d0b08a8f090d7c49e
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