Instructions to use rlhn/e5-base-default-400K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rlhn/e5-base-default-400K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rlhn/e5-base-default-400K")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rlhn/e5-base-default-400K") model = AutoModel.from_pretrained("rlhn/e5-base-default-400K") - Notebooks
- Google Colab
- Kaggle
Improve model card for Robust Information Retrieval
#1
by nielsr HF Staff - opened
This PR improves the model card by adding a detailed model description, intended uses, and links to the paper and Github repository. It also sets the pipeline_tag to feature-extraction and specifies the license.