Dinesh Yeduguru 516e1a3e59 add embedding model by default to distribution templates (#617) ... # What does this PR do? Adds the sentence transformer provider and the `all-MiniLM-L6-v2` embedding model to the default models to register in the run.yaml for all providers. ## Test Plan llama stack build --template together --image-type conda llama stack run ~/.llama/distributions/llamastack-together/together-run.yaml		2024-12-13 12:48:00 -08:00
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bedrock	Update more distribution docs to be simpler and partially codegen'ed	2024-11-20 22:03:44 -08:00
datasetio	[Evals API][11/n] huggingface dataset provider + mmlu scoring fn (#392)	2024-11-11 14:49:50 -05:00
inference	add embedding model by default to distribution templates (#617)	2024-12-13 12:48:00 -08:00
kvstore	use logging instead of prints (#499)	2024-11-21 11:32:53 -08:00
memory	Make embedding generation go through inference (#606)	2024-12-12 11:47:50 -08:00
scoring	[/scoring] add ability to define aggregation functions for scoring functions & refactors (#597)	2024-12-11 10:03:42 -08:00
telemetry	add tracing back to the lib cli (#595)	2024-12-11 08:44:20 -08:00
__init__.py	API Updates (#73)	2024-09-17 19:51:35 -07:00