arnabdhar
OpenCodeReasoning-Nemotron-1.1-7B-llamafile
YOLOv8-nano-aadhar-card
tinybert-imdb
Swin-V2-base-Food
OpenCodeReasoning-Nemotron-1.1-7B-GGUF
bert-tiny-privacy
distilbert-base-amazon-multi
gpt2-fineweb
xlm-roberta-base-wikineural
bert-tiny-ontonotes
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