Instructions to use ethansimrm/opus_big_wce_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_big_wce_random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_big_wce_random") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_big_wce_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ethansimrm/opus_big_wce_random: direct link, hf CLI and curl.
- Browser
- Download file 923 MB
-
https://huggingface.co/ethansimrm/opus_big_wce_random/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ethansimrm/opus_big_wce_random/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ethansimrm/opus_big_wce_random/resolve/main/pytorch_model.bin
923 MB
- Xet hash:
- d8fd57fb4116198fed3b9c543ce37eff316b80adf918aa8c7c9195e92dc6aed8
- Size of remote file:
- 923 MB
- SHA256:
- ec9d3a4fd497e14f5a741f6a4418a6d889e7ac3c0b72e2807cb16cf5e5e2ea62
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