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wave2vec 2.0 LARGE
About wave2vec 2.0 LARGE
wave2vec 2.0 LARGE is an AI model developed by Facebook, in the speech category, released in 2020, made available as an open-weights model with 0.3B params.
On this page you'll find wave2vec 2.0 LARGE's full specifications. Review provider pricing and benchmark scores below, or compare wave2vec 2.0 LARGE head-to-head with other speech models.
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Run wave2vec 2.0 LARGE locally — what fits
GPUs with enough VRAM to hold wave2vec 2.0 LARGE at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.
VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).
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Frequently asked questions
What is wave2vec 2.0 LARGE? ▶
wave2vec 2.0 LARGE is an AI model developed by Facebook, in the speech category, released in 2020. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created wave2vec 2.0 LARGE? ▶
wave2vec 2.0 LARGE was developed by Facebook and released in 2020.
Is wave2vec 2.0 LARGE open source or proprietary? ▶
wave2vec 2.0 LARGE ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does wave2vec 2.0 LARGE cost? ▶
Pricing for wave2vec 2.0 LARGE depends on the provider. See the providers table on this page for the latest API rates.
How does wave2vec 2.0 LARGE perform on benchmarks? ▶
Benchmark scores for wave2vec 2.0 LARGE are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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