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:
- bde1921c3750525b0cb0bf62ca5f26646340f424475be0a32f985bdb36361ff0
- Size of remote file:
- 4.09 kB
- SHA256:
- 038fa0750d2d54ed9666d23526879ed6d1d0b7ac864a1b7b0be7bb9ec184309c
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