Feature Extraction
Transformers
Safetensors
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use sam-babayev/sf_model_e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sam-babayev/sf_model_e5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sam-babayev/sf_model_e5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sam-babayev/sf_model_e5") model = AutoModel.from_pretrained("sam-babayev/sf_model_e5") - Notebooks
- Google Colab
- Kaggle
Model metadata missing
#1
by kardosdrur - opened
Hi! I'm Márton, and I'm currently working on the new version of the MTEB leaderboard. I'm in the process of manually examining the top 200 models on the old leaderboard.
Your repo seems to be lacking information about your training regime and datasets you've trained on.
Can we expect to see any information on this in the near future?