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:
- 8610c49875daeceb9350edf6cae587c53a1a0dc1c8a092d29bd7d8ee29eacf2d
- Size of remote file:
- 573 MB
- SHA256:
- 49072d5fe0f8bcbec76f00bfb6f4f79cb59e5781459463c0472fbb055362d7e4
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