Model reference · open weights
wav2vec2-xls-r-cv8-es is an open-weight audio or speech model from edugp. wav2vec2-xls-r-300m-cv8-es (BF16) weighs 1.3 GB; the smallest configuration that runs it is RTX 3060 12 GB.
What it is
| Released by | edugp |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Runs with | transformers |
| Released | 2022-03-02 |
| Popularity | 509 downloads / month |
| Weights | 1.3 GB (wav2vec2-xls-r-300m-cv8-es (BF16), file size) |
| Licence | Open weights |
What it runs on
Weights 1.3 GB (file size) · overhead about 1.6 GB.
| Card | One stream | Counted memory |
|---|---|---|
| RTX 3060 12 GB | fits | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
Estimates, not measurements: the weights are the build's file size. A speech model's decoder keeps a small cache for every stream it transcribes, so memory grows with the streams and beams at once. Counted memory is 92 % of what CUDA reports for the card.
From the model card
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Quoted from the model card on Hugging Face — the full card is behind the Hugging Face link above.