Instructions to use Chun/w-zh2en-hsk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chun/w-zh2en-hsk with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Chun/w-zh2en-hsk") model = AutoModelForSeq2SeqLM.from_pretrained("Chun/w-zh2en-hsk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94063dcb354ecce93d9828beb0d28cf6b7e8c6d0c2f501cb77255226c5290d31
- Size of remote file:
- 310 MB
- SHA256:
- ad6964eac56549f34331b04bf286ac47892194ec5f6bbfa498ea4fead8efcfc0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.