Feature Extraction
Transformers
Safetensors
English
flmr
retrieval
multi-modal
knowledge-based visual question answering
FLMR
PreFLMR
custom_code
Instructions to use LinWeizheDragon/FLMR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LinWeizheDragon/FLMR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LinWeizheDragon/FLMR", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LinWeizheDragon/FLMR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from LinWeizheDragon/FLMR: direct link, hf CLI and curl.
- Browser
- Download file 828 MB
-
https://huggingface.co/LinWeizheDragon/FLMR/resolve/main/model.safetensors
- Command line
-
hf download hf://LinWeizheDragon/FLMR/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/LinWeizheDragon/FLMR/resolve/main/model.safetensors
828 MB
- Xet hash:
- 622804061568e6e2437fc63a3b5cf4a1971096ccaafdea7e23175fba479b1d82
- Size of remote file:
- 828 MB
- SHA256:
- 1364a0f3a77b48c8f58dd73bbcde64096c5651787d6aeb62d43563f474be4b22
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