Text Retrieval
Transformers
Safetensors
English
qwen3
information-retrieval
LLM
Embedding
disaster-management
text-generation-inference
Instructions to use DMIR01/DMRetriever-596M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DMIR01/DMRetriever-596M with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DMIR01/DMRetriever-596M") model = AutoModel.from_pretrained("DMIR01/DMRetriever-596M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 717f3a0e1b751cfe89022fb634a737f9af267e62340b934edff6c9977e339afe
- Size of remote file:
- 1.19 GB
- SHA256:
- 98f98aa5960581c97a111d7fdae585b6462aceec96de9191102214afcb94d9d0
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