Instructions to use syubraj/romaneng2nep_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syubraj/romaneng2nep_v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syubraj/romaneng2nep_v3") model = AutoModelForSeq2SeqLM.from_pretrained("syubraj/romaneng2nep_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5c14c1a55af2dd3f944ac94181f1e917f819f5eafded475a68f73c6d341f553
- Size of remote file:
- 1.2 GB
- SHA256:
- 0f7a934a8d551360b971f1b3156bcf476b93f45ca7ed9de7b1eda14b0b6c5802
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.