Instructions to use benjamin/roberta-base-wechsel-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/roberta-base-wechsel-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="benjamin/roberta-base-wechsel-chinese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("benjamin/roberta-base-wechsel-chinese") model = AutoModelForMaskedLM.from_pretrained("benjamin/roberta-base-wechsel-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from benjamin/roberta-base-wechsel-chinese: direct link, hf CLI and curl.
- Browser
- Download file 2.67 MB
-
https://huggingface.co/benjamin/roberta-base-wechsel-chinese/resolve/main/tokenizer.json
- Command line
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hf download hf://benjamin/roberta-base-wechsel-chinese/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/benjamin/roberta-base-wechsel-chinese/resolve/main/tokenizer.json
2.67 MB
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