Sentence Similarity
Transformers
PyTorch
English
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use dwzhu/e5-base-4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dwzhu/e5-base-4k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dwzhu/e5-base-4k") model = AutoModel.from_pretrained("dwzhu/e5-base-4k") - Inference
- Notebooks
- Google Colab
- Kaggle
Remove `sentence-transformers` tags
#1
by tomaarsen HF Staff - opened
Hello!
Pull Request overview
- Remove
sentence-transformerstags
Details
These tags are meant to be used with models that work out of the box with Sentence Transformers, i.e. that have the required configuration files such that the following works:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("model_author/model_name")
embeddings = model.encode(["This is some arbitrary text"])
- Tom Aarsen
dwzhu changed pull request status to merged