Feature Extraction
Transformers
Safetensors
qwen3
text-generation
embeddings
legal-retrieval
procurement
lora-merged
text-embeddings-inference
Instructions to use LorMolf/Qwen-Embedding-ProcCode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LorMolf/Qwen-Embedding-ProcCode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LorMolf/Qwen-Embedding-ProcCode")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LorMolf/Qwen-Embedding-ProcCode") model = AutoModelForCausalLM.from_pretrained("LorMolf/Qwen-Embedding-ProcCode") - Notebooks
- Google Colab
- Kaggle
| { | |
| "adapter_checkpoint": "src_appalti/src_retriever/data/qwen3_embedding/outputs/qwen3-embedding-wiki-juris-2k-wiki-juris-20260625-001424/v0-20260625-004807/checkpoint-2000", | |
| "base_model": "Qwen/Qwen3-Embedding-0.6B", | |
| "dataset_dir": "src_appalti/src_retriever/data/procurement/20260625_001428", | |
| "initialization_adapter_checkpoint": "src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000", | |
| "merge_base_model": "src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000", | |
| "merged_at": "2026-06-25T06:14:38.717799+00:00", | |
| "pack_dir": "src_appalti/src_retriever/data/qwen3_embedding/qwen3-embedding-wiki-juris-2k-wiki-juris-20260625-001424", | |
| "pack_manifest_sha256": "6c14d45beb94103b6225cf130bc64b85cb3ab5546ee31ada364a781f52cae95b", | |
| "pack_train_sha256": "d206b8817ec9f651be773ae3ce2b456062344295aa1967fdb44092cda175a925", | |
| "raw_base_model": "Qwen/Qwen3-Embedding-0.6B", | |
| "repo_id": "LorMolf/Qwen-Embedding-ProcCode", | |
| "torch_dtype": "bfloat16" | |
| } | |