Instructions to use ethansimrm/opus_base_wce_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_wce_random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_wce_random") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_wce_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ethansimrm/opus_base_wce_random: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/ethansimrm/opus_base_wce_random/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://ethansimrm/opus_base_wce_random@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ethansimrm/opus_base_wce_random/resolve/refs%2Fpr%2F1/training_args.bin
3.77 kB
- Xet hash:
- e931806c894862d703650914c48b9a61ccd76a82e6e629aa0dabe17c67252c47
- Size of remote file:
- 3.77 kB
- SHA256:
- 3ffc182f2e76a1a072a43bb175e1b6d8176501f76e795c82d01e5ab1d2f0a83c
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