Feature Extraction
Transformers
Safetensors
eranex_embedding
sentence-embeddings
mamba
state-space-model
multilingual
custom_code
Instructions to use Eranex-Tech/eranex-embedding-v1.0-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eranex-Tech/eranex-embedding-v1.0-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Eranex-Tech/eranex-embedding-v1.0-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Eranex-Tech/eranex-embedding-v1.0-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Eranex-Tech/eranex-embedding-v1.0-base: direct link, hf CLI and curl.
- Browser
- Download file 1.53 MB
-
https://huggingface.co/Eranex-Tech/eranex-embedding-v1.0-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://Eranex-Tech/eranex-embedding-v1.0-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Eranex-Tech/eranex-embedding-v1.0-base/resolve/main/tokenizer.json
1.53 MB
File too large to display, you can check the raw version instead.