Text Retrieval
Transformers
Safetensors
English
qwen3
information-retrieval
LLM
Embedding
disaster-management
text-generation-inference
Instructions to use DMIR01/DMRetriever-596M-PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DMIR01/DMRetriever-596M-PT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DMIR01/DMRetriever-596M-PT") model = AutoModel.from_pretrained("DMIR01/DMRetriever-596M-PT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da7ecce457137828b59081427cfcfb03b64dd3bf859c52b7958e784a6f585bac
- Size of remote file:
- 11.4 MB
- SHA256:
- 352a863cd2761388ccc58f1432467ba6a1037bf12df9069889b142fa246471f6
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