Instructions to use lgessler/coptic_mpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgessler/coptic_mpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lgessler/coptic_mpt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lgessler/coptic_mpt") model = AutoModel.from_pretrained("lgessler/coptic_mpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (7344c42e705bf393c1d687bb775cbe66f292eb04) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ab78705
-
Upload 6 files
4076a61 -
initial commit
d1d9a97