Feature Extraction
Transformers
ONNX
English
nomic_bert
teradata
byom
embeddings
custom_code
text-embeddings-inference
Instructions to use Teradata/nomic-embed-text-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/nomic-embed-text-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teradata/nomic-embed-text-v1.5", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Teradata/nomic-embed-text-v1.5", trust_remote_code=True) model = AutoModel.from_pretrained("Teradata/nomic-embed-text-v1.5", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle