Instructions to use chengzl18/thucbert-cm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chengzl18/thucbert-cm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="chengzl18/thucbert-cm", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("chengzl18/thucbert-cm") model = AutoModelForMaskedLM.from_pretrained("chengzl18/thucbert-cm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:15a262ab553325c8ef01269bf6604f8d881a699e89a8beb5f09d960cd107b85a
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size 381997232
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