Model reference · open weights
dac_24khz is an open-weight embedding model from descript. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | descript |
|---|---|
| Type | Embedding models |
| Task | Embeddings |
| Parameters (lead) | 75M |
| Runs with | transformers |
| Released | 2024-06-18 |
| Popularity | 4k downloads / month |
| Licence | Unknown |
About
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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BibTeX:
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APA:
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From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys dac-24khz for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (dac-24khz below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/embeddings \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"dac-24khz","input":"text to embed"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.