Instructions to use ChouBERT/ChouBERT-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChouBERT/ChouBERT-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ChouBERT/ChouBERT-4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ChouBERT/ChouBERT-4") model = AutoModelForMaskedLM.from_pretrained("ChouBERT/ChouBERT-4") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:9b504029bb46e57d86370213b82fd7cecb97d10d4ca5b8c6f424447a7c101bde
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size 445008860
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