Instructions to use airesearch/wangchanberta-base-wiki-spm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wangchanberta-base-wiki-spm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="airesearch/wangchanberta-base-wiki-spm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanberta-base-wiki-spm") model = AutoModelForMaskedLM.from_pretrained("airesearch/wangchanberta-base-wiki-spm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3b5e0799ad64a518d9cf845ee215cc5a9f3ed2fa2a038d0cf3790412c7fd997
- Size of remote file:
- 418 MB
- SHA256:
- 57db79b5d209abe9cb1b9ca3edf4ca3de0fbedbb7dbfdd45790e43c61ae06c9b
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