Fill-Mask
Transformers
PyTorch
JAX
Chinese
roberta
chinese
classical chinese
literary chinese
ancient chinese
bert
Instructions to use ethanyt/guwenbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethanyt/guwenbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ethanyt/guwenbert-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ethanyt/guwenbert-large") model = AutoModelForMaskedLM.from_pretrained("ethanyt/guwenbert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from ethanyt/guwenbert-large: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/ethanyt/guwenbert-large/resolve/main/.gitattributes
- Command line
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hf download hf://ethanyt/guwenbert-large/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/ethanyt/guwenbert-large/resolve/main/.gitattributes
391 Bytes
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