Instructions to use airesearch/wangchanbart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wangchanbart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="airesearch/wangchanbart-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanbart-base") model = AutoModel.from_pretrained("airesearch/wangchanbart-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e24a65dee6d8bb56912971bea3077a0de76563d1aec1487441eab1f220848566
- Size of remote file:
- 1.54 MB
- SHA256:
- 7d541df5b549108278772bc65678eac34c37d8bf055592be5f6d284fab115495
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