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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kimmchii/small100-th") model = AutoModelForSeq2SeqLM.from_pretrained("kimmchii/small100-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
653875b -
Update README.md
24f7143
-
Upload tokenizer/tokenization_small100.py with huggingface_hub
4837a78 -
Update README.md
687acdb -
Upload folder using huggingface_hub
ed022d0 -
Upload folder using huggingface_hub
261fd96 -
Upload M2M100ForConditionalGeneration
13274be -
initial commit
a0fe892