Instructions to use ChouBERT/ChouBERT-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChouBERT/ChouBERT-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ChouBERT/ChouBERT-16")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ChouBERT/ChouBERT-16") model = AutoModelForMaskedLM.from_pretrained("ChouBERT/ChouBERT-16") - 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 sha256:130294b4d2fda4487b24bafd2876320b053473ec1ec6f6e235c45020e7bfe0ce
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size 445008860
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