Instructions to use kimmchii/small100-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kimmchii/small100-th with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kimmchii/small100-th") model = AutoModelForSeq2SeqLM.from_pretrained("kimmchii/small100-th") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bda9ed8d1caabfe0c7f24889e90f3560b29583fdaffc19e6ad378bb4b755ee99
- Size of remote file:
- 1.34 GB
- SHA256:
- 4550bb4e66aff6ef0e7c2ea6bf31dd7193257d59ae27c37ae4d233000f8675e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.