Instructions to use Python/cls_zh2en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Python/cls_zh2en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Python/cls_zh2en") model = AutoModelForSeq2SeqLM.from_pretrained("Python/cls_zh2en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Python/cls_zh2en: direct link, hf CLI and curl.
- Browser
- Download file 2.89 MB
-
https://huggingface.co/Python/cls_zh2en/resolve/main/optimizer.pt
- Command line
-
hf download hf://Python/cls_zh2en/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Python/cls_zh2en/resolve/main/optimizer.pt
2.89 MB
- Xet hash:
- e17a7554b386bdc800bca6bb7cc8359e66d6a329374a5a8bc7e752b7692e8180
- Size of remote file:
- 2.89 MB
- SHA256:
- d1b9e8b3b308000fc0d25d14d8143b6d73ff3755ff476e6555cfe3173f3dd581
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.