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TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
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> Centralized storage repository for high-performance `.safetensors` model weights, diffusion checkpoints, and assets used across active Hugging Face Spaces. This repository serves as the primary weight host and backend storage vault for generative AI workflows. Storing weights in a single dedicated repository ensures fast loading times, seamless updates, and persistent access for dependent web applications and pipeline runners.

Image generation
Input Text→ Output Image
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Category pending
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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the OPENSLR_SLR53 - bengali dataset. It achieves the following results on the evaluation set. With 5 gram language model trained on 30M sentences randomly chosen from AI4Bharat IndicCorp dataset : - WER: 0.15322879016421437 - CER: 0.03413696666806267 Note : 5% of a total 10935 samples have been used for evaluation. Evaluation set has 10935 examples which was not part of training training was done on first 95% and eval was done on last 5%. Training was stopped after 180k steps. Output predictions are available under files section.

Text generationOpen weights
Input Audio→ Output Text
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NyayMitra

Arisha2902

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation
Input Text→ Output Text
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1 M = 1 million tokens · USD
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How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

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