Instructions to use Finisha-F-scratch/MalyaDiy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finisha-F-scratch/MalyaDiy with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Finisha-F-scratch/MalyaDiy") model = AutoModelForSeq2SeqLM.from_pretrained("Finisha-F-scratch/MalyaDiy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 5.5 kB
- SHA256:
- e582a8eeed1f73741b33244bf5cc2bff8065737037b07df2a5226b37f846513c
·
Git Large File Storage (LFS) replaces large files with text pointers inside Git, while storing the file contents on a remote server. More info.