Instructions to use lgessler/coptic-microbert-tree-sgcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgessler/coptic-microbert-tree-sgcl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lgessler/coptic-microbert-tree-sgcl")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lgessler/coptic-microbert-tree-sgcl") model = AutoModel.from_pretrained("lgessler/coptic-microbert-tree-sgcl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (f9907796407b3058117e5c226338df9c9448b24c)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c522be085a696734fc0e41f48844e5956f6114e4dfae3ac939e9104c8d262c6
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size 7970160
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