Instructions to use KoichiYasuoka/roberta-base-thai-char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/roberta-base-thai-char with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/roberta-base-thai-char")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-thai-char") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-thai-char", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KoichiYasuoka/roberta-base-thai-char: direct link, hf CLI and curl.
- Browser
- Download file 353 MB
-
https://huggingface.co/KoichiYasuoka/roberta-base-thai-char/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KoichiYasuoka/roberta-base-thai-char/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KoichiYasuoka/roberta-base-thai-char/resolve/main/pytorch_model.bin
353 MB
- Xet hash:
- 853333d26b27c1cf59635125f595ea9468d28df68e3d188535d1e4d65d594817
- Size of remote file:
- 353 MB
- SHA256:
- 2ada4d5ee5c1fa991865416ec8c8096a03d38c9ac8d57dbe02334d9c43b47bb9
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