Comments (4)
Hi ! @parano is bentoml on conda forge now?
I have been trying to conda build my pypi package but I get keep getting dependency error.
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I don't think we have bentoml on conda-forge.
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@aarnphm do you have any plan on making bentoml conda package?
from bentoml.
we don't atm.
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Related Issues (20)
- bug: asyncio.exceptions.CancelledError HOT 4
- On-demand loading with limited GPU resource
- bug: BentoML Ray ray.serve._private.storage.kv_store.KVStoreError: 8 HOT 1
- feature: not able to install packages from private PyPI easily HOT 3
- bug: not able to mount secret
- bug: Compiled functions can't take variable number of arguments or use keyword-only arguments with defaults HOT 1
- bug: BentoML installation throwing mutable default <class 'bentoml.types.HTTPHeaders'> for field headers is not allowed: use default_factory HOT 2
- bug: bentoml.transformers.save_model() is constrained on image-classification? HOT 1
- bug: adaptive batching not work in mlflow model (gensim word2vec)
- bug: aiohttp.client_exceptions.ClientResponseError "Header value is too long"
- bug: Error calling zero-argument runner method
- bug: fail to build bento on none-gpu env. because NvidiaGpuResource.from_system throws HOT 1
- feature: make sync_with_hub_version optional HOT 2
- bug: cannot use local path as model_id
- feature: video/audio IO descriptors HOT 2
- enhancement: Include the trace_id, span_id, and service name in the monitoring log
- bug: TransformersRunnable.__init__ sets torch default tensor type to torch.cuda.FloatTensor even if gpu is not available
- feature: Allow "backupCount" to be specified in environment variable for the default monitoring log's TimedRotatingFileHandler HOT 1
- bentoml.onnx.get is not working after onnx conversion is completed
- bug: X-Amzn-SageMaker-Custom-Attributes header conflict prevents custom value for Sagemaker endpoint
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