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fix(deps): bump datasets versions for all providers (#3382)

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Not doing so results in errors of the kind you see in:
4989026435
This commit is contained in:
Ashwin Bharambe 2025-09-08 15:13:42 -07:00 • committed by GitHub
parent c9268a7a8c
commit 30468d0c43
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GPG key ID: B5690EEEBB952194
2 changed files with 3 additions and 3 deletions
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4
llama_stack/providers/registry/datasetio.py
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@ -30,7 +30,7 @@ def available_providers() -> list[ProviderSpec]:
adapter=AdapterSpec(
adapter_type="huggingface",
pip_packages=[
"datasets",
"datasets>=4.0.0",
],
module="llama_stack.providers.remote.datasetio.huggingface",
config_class="llama_stack.providers.remote.datasetio.huggingface.HuggingfaceDatasetIOConfig",
@ -42,7 +42,7 @@ def available_providers() -> list[ProviderSpec]:
adapter=AdapterSpec(
adapter_type="nvidia",
pip_packages=[
"datasets",
"datasets>=4.0.0",
],
module="llama_stack.providers.remote.datasetio.nvidia",
config_class="llama_stack.providers.remote.datasetio.nvidia.NvidiaDatasetIOConfig",

2
llama_stack/providers/registry/post_training.py
View file

@ -48,7 +48,7 @@ def available_providers() -> list[ProviderSpec]:
InlineProviderSpec(
api=Api.post_training,
provider_type="inline::huggingface-gpu",
pip_packages=["trl", "transformers", "peft", "datasets", "torch"],
pip_packages=["trl", "transformers", "peft", "datasets>=4.0.0", "torch"],
module="llama_stack.providers.inline.post_training.huggingface",
config_class="llama_stack.providers.inline.post_training.huggingface.HuggingFacePostTrainingConfig",
api_dependencies=[