Instructions to use rlhn/e5-base-default-250K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rlhn/e5-base-default-250K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rlhn/e5-base-default-250K")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rlhn/e5-base-default-250K") model = AutoModel.from_pretrained("rlhn/e5-base-default-250K") - Notebooks
- Google Colab
- Kaggle
Improve Model Card with Paper Information and Usage Details
#1
by nielsr HF Staff - opened
This PR updates the model card for better documentation.
- It ensures a relevant
pipeline_tag, and addslibrary_name: transformers - Adds a link to the related paper, and fills other missing fields with information from the paper and provided resources.