Instructions to use WaiLwin/jun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WaiLwin/jun with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForMultiHeadClassification tokenizer = AutoTokenizer.from_pretrained("WaiLwin/jun") model = DistilBertForMultiHeadClassification.from_pretrained("WaiLwin/jun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 423a58a6b05c88dd5abbde30251737508b72e625f2529dd776021c2f678ddb96
- Size of remote file:
- 5.78 kB
- SHA256:
- 9c8dd2d40326a30bd1579e32336cd0c1169b114d380c278e46b93d4e70768ff4
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