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")# pip install -U transformers accelerate # 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
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (f9907796407b3058117e5c226338df9c9448b24c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ddd3ac9
-
Upload 6 files
7025c96 -
initial commit
a0c9115