Instructions to use KoichiYasuoka/deberta-base-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/deberta-base-thai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/deberta-base-thai")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-thai") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-thai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KoichiYasuoka/deberta-base-thai: direct link, hf CLI and curl.
- Browser
- Download file 353 MB
-
https://huggingface.co/KoichiYasuoka/deberta-base-thai/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KoichiYasuoka/deberta-base-thai/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KoichiYasuoka/deberta-base-thai/resolve/main/pytorch_model.bin
353 MB
- Xet hash:
- f12dccfac8a3c6925da1e841ebe5c05e974a266a9da5c3e0bf8f8c623d8a708a
- Size of remote file:
- 353 MB
- SHA256:
- aae5ca6dee9919446aedf425af5b921345fb9eb15be5f48e2f65189e5b0c8df0
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