Instructions to use airesearch/wangchanberta-base-wiki-syllable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wangchanberta-base-wiki-syllable with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="airesearch/wangchanberta-base-wiki-syllable")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanberta-base-wiki-syllable") model = AutoModelForMaskedLM.from_pretrained("airesearch/wangchanberta-base-wiki-syllable") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a54c7642152ac32b4aa028791a12e1e508e99f21c388db0214fb07d0dfcee84
- Size of remote file:
- 526 MB
- SHA256:
- 01ae4295348f2c3ac9c86afba0028a16e38a27362774e3a0ec1a935e4d4b3b07
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