Instructions to use namngo/checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namngo/checkpoint with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("namngo/checkpoint") model = AutoModelForMultipleChoice.from_pretrained("namngo/checkpoint") - 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 sha256:2ee3b7d5f15b6bb762fb6b95fcea306fdf9b0fd02e00383df54ed6b45c1b9e8c
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size 540022444
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