Instructions to use DLight1551/jsResume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DLight1551/jsResume with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DLight1551/jsResume", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DLight1551/jsResume", trust_remote_code=True, dtype="auto") - 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 sha256:5c41abb36d52a2184af41b55d7e6e21dbadf2fa793f33d24f036c78b3adf14c5
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size 17195121840
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