Instructions to use airesearch/wangchanberta-base-wiki-sefr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wangchanberta-base-wiki-sefr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="airesearch/wangchanberta-base-wiki-sefr")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanberta-base-wiki-sefr") model = AutoModelForMaskedLM.from_pretrained("airesearch/wangchanberta-base-wiki-sefr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aadfa2b88439771cd02adf02e2caf832af6170358fac1219dddaf1d85715445b
- Size of remote file:
- 628 MB
- SHA256:
- 29bf9da056a7252fe40379e382eaceaba74ad0870c6882a93daf7d4188aeb1fd
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