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 optimizer.pt from ethansimrm/opus_base_simple_freq_wce: direct link, hf CLI and curl.
- Browser
- Download file 597 MB
-
https://huggingface.co/ethansimrm/opus_base_simple_freq_wce/resolve/main/optimizer.pt
- Command line
-
hf download hf://ethansimrm/opus_base_simple_freq_wce/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ethansimrm/opus_base_simple_freq_wce/resolve/main/optimizer.pt
597 MB
- Xet hash:
- 689f3a2555d5c8221dfbf25adb9aaaed43a5859ecd486e30c7a74ce3021dcfc8
- Size of remote file:
- 597 MB
- SHA256:
- 3c969a592d6857ebe29b24ec684d0d5d61361fb27f8342a521c259dc6b3bcd99
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