Feature Extraction
Transformers
Safetensors
bert
tevatron
tevatron-elastic
information-retrieval
retriever
elastic
text-embeddings-inference
Instructions to use utahnlp/tevatron-elastic-bert-retriever-plain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utahnlp/tevatron-elastic-bert-retriever-plain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="utahnlp/tevatron-elastic-bert-retriever-plain")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("utahnlp/tevatron-elastic-bert-retriever-plain") model = AutoModel.from_pretrained("utahnlp/tevatron-elastic-bert-retriever-plain") - Notebooks
- Google Colab
- Kaggle
Ctrl+K