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 checkpoint-80000/optimizer.pt from ethansimrm/opus_base_wce_random: direct link, hf CLI and curl.
- Browser
- Download file 597 MB
-
https://huggingface.co/ethansimrm/opus_base_wce_random/resolve/main/checkpoint-80000/optimizer.pt
- Command line
-
hf download hf://ethansimrm/opus_base_wce_random/checkpoint-80000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ethansimrm/opus_base_wce_random/resolve/main/checkpoint-80000/optimizer.pt
597 MB
- Xet hash:
- a54fd79a9bdd3e45baf665c402bab65cbe2cdd8c91ed1b57f2cf158057240b77
- Size of remote file:
- 597 MB
- SHA256:
- 81421de96490a3aaada61bbc845daec8533de9723dd7292a7501e347061e4d6b
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