Feature Extraction
Transformers
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English
nomic_bert
sentence-similarity
embedding
retrieval
roleplay
memory
matryoshka
nomic-bert
custom_code
text-embeddings-inference
Instructions to use Zeolit/lettuce-emb-768d-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zeolit/lettuce-emb-768d-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Zeolit/lettuce-emb-768d-v4", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Zeolit/lettuce-emb-768d-v4", trust_remote_code=True) model = AutoModel.from_pretrained("Zeolit/lettuce-emb-768d-v4", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
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