Instructions to use hjkim811/SLIM-C_boolean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hjkim811/SLIM-C_boolean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hjkim811/SLIM-C_boolean")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hjkim811/SLIM-C_boolean") model = AutoModelForMaskedLM.from_pretrained("hjkim811/SLIM-C_boolean") - 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 sha256:56dcd795cfe015d2fa33c09ec2c26946980259b610f35f7e47d9c77ce5d13a22
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size 433268632
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