Feature Extraction
Transformers
PyTorch
Safetensors
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use infgrad/stella-base-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use infgrad/stella-base-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="infgrad/stella-base-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("infgrad/stella-base-zh") model = AutoModel.from_pretrained("infgrad/stella-base-zh") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot