Text Retrieval
Transformers
Safetensors
bidirectional_pplx_qwen3
feature-extraction
sentence-embeddings
contextual-embeddings
custom_code
Instructions to use seslami-pplx/pplx-embed-context-v1.2-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seslami-pplx/pplx-embed-context-v1.2-4B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("seslami-pplx/pplx-embed-context-v1.2-4B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload SLERP-merged checkpoint (alpha=0.5) from two adversarial-FT runs at step-1500
43188fa verified | from transformers.models.qwen3.configuration_qwen3 import Qwen3Config | |
| class PPLXQwen3Config(Qwen3Config): | |
| model_type = "bidirectional_pplx_qwen3" | |