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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
The output-convention-controllable variant of TEA-ASR-1.1-mini. Same compact drop-in Taiwan-Mandarin ASR — native Traditional Chinese + Taiwan vocabulary — plus a working numeral-style dial (digits → 108年 / zh-num →...
Based on adorable stuff.
This model is a 14.75% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Swahili language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to...
Manga test
Originally posted to HuggingFace by sd-concepts-library chop on Stable Diffusion This is the concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the Stable Conceptualizer...
Charlee Trans MTF Character
The uncensored MiniMax-H3 text encoder, in 15.7 GB — it fits on a single 16 GB card.
普通のチャイナドレスです。 ロラの強度は0.4~0.6が推奨。 ロラ無しよりは、綺麗に生成されると思います。
ONNX export of NbAiLab/nb-wav2vec2-1b-bokmaal, a Norwegian Bokmål wav2vec2 CTC ASR model from National Library of Norway AI Lab (NbAiLab), for use with onnx-asr (wav2vec2-ctc model type).
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.3843 Accuracy: 0.8754
Segformer-B5 (85M parameters) fine-tuned for 8-class semantic segmentation of outdoor apple orchard scenes captured from a robotic platform.
