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arnabdhar

11 models • 1 total models in database
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OpenCodeReasoning-Nemotron-1.1-7B-llamafile

NaNK
llamafile
3,111
1

YOLOv8-nano-aadhar-card

license:apache-2.0
776
4

tinybert-imdb

license:mit
189
0

Swin-V2-base-Food

NaNK
license:apache-2.0
150
0

OpenCodeReasoning-Nemotron-1.1-7B-GGUF

NaNK
—
41
0

bert-tiny-privacy

license:mit
4
1

distilbert-base-amazon-multi

license:apache-2.0
3
0

gpt2-fineweb

—
2
0

xlm-roberta-base-wikineural

license:mit
1
0

bert-tiny-ontonotes

NaNK
license:mit
1
0

YOLOv8 Face Detection

This model was fine tuned on a dataset of over 10k images containing human faces. The model was fine tuned for 100 epochs with a batch size of 16 on a single NVIDIA V100 16GB GPU, it took around 140 minutes for the fine tuning to complete. - Face Detection: This model can directly use this model for face detection or it can be further fine tuned own a custom dataset to improve the prediction capabilities. - Face Recognition: This model can be fine tuned to for face recognition tasks as well, create a dataset with the images of faces and label them accordingly using name or any ID and then use this model as a base model for fine tuning. - Dataset Source: Roboflow Universe - Weights & Biases: Run Details - Training Artifacts: training-artifacts

license:agpl-3.0
0
98
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