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Simon Pagezy
pagezyhf
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microsoft/OmniParser-v2.0:Error when running with transformers.
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2 days ago
Gemma 3 Release
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Error when running with transformers.
22
#2 opened 24 days ago
by
ammar90
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2 days ago
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2 days ago
Article
Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM
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6 days ago
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9 days ago
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11 days ago
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14 days ago
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Common AI Model Formats
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commented on
Hugging Face models in Amazon Bedrock
15 days ago
Hello
@vsrivastav-pm
, Glad that you are playing with it! Could you open a discussion in the forum, provide more information about the model deployed to your SM endpoint and tag me?
https://discuss.huggingface.co/c/sagemaker/17
Can't spin this up in SageMaker
2
#19 opened 3 months ago
by
Pelmenchik
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29 days ago
Article
Hugging Face on AMD Instinct MI300 GPU
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From Chunks to Blocks: Accelerating Uploads and Downloads on the Hub
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Open-source DeepResearch โ Freeing our search agents
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1701
We published https://huggingface.co/blog/deepseek-r1-aws!
If you are using AWS, give a read. It is a running document to showcase how to deploy and fine-tune DeepSeek R1 models with Hugging Face on AWS.
We're working hard to enable all the scenarios, whether you want to deploy to Inference Endpoints, Sagemaker or EC2; with GPUs or with Trainium & Inferentia.
We have full support for the distilled models, DeepSeek-R1 support is coming soon!! I'll keep you posted.
Cheers
If you are using AWS, give a read. It is a running document to showcase how to deploy and fine-tune DeepSeek R1 models with Hugging Face on AWS.
We're working hard to enable all the scenarios, whether you want to deploy to Inference Endpoints, Sagemaker or EC2; with GPUs or with Trainium & Inferentia.
We have full support for the distilled models, DeepSeek-R1 support is coming soon!! I'll keep you posted.
Cheers
- 1 reply
published
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about 1 month ago
Article
How to deploy and fine-tune DeepSeek models on AWS
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4077
๐ง๐ต๐ฒ ๐๐๐ฏ ๐๐ฒ๐น๐ฐ๐ผ๐บ๐ฒ๐ ๐ฒ๐
๐๐ฒ๐ฟ๐ป๐ฎ๐น ๐ถ๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐ฝ๐ฟ๐ผ๐๐ถ๐ฑ๐ฒ๐ฟ๐!
โ Hosting our own inference was not enough: now the Hub 4 new inference providers: fal, Replicate, SambaNova Systems, & Together AI.
Check model cards on the Hub: you can now, in 1 click, use inference from various providers (cf video demo)
Their inference can also be used through our Inference API client. There, you can use either your custom provider key, or your HF token, then billing will be handled directly on your HF account, as a way to centralize all expenses.
๐ธ Also, PRO users get 2$ inference credits per month!
Read more in the announcement ๐ https://huggingface.co/blog/inference-providers
โ Hosting our own inference was not enough: now the Hub 4 new inference providers: fal, Replicate, SambaNova Systems, & Together AI.
Check model cards on the Hub: you can now, in 1 click, use inference from various providers (cf video demo)
Their inference can also be used through our Inference API client. There, you can use either your custom provider key, or your HF token, then billing will be handled directly on your HF account, as a way to centralize all expenses.
๐ธ Also, PRO users get 2$ inference credits per month!
Read more in the announcement ๐ https://huggingface.co/blog/inference-providers
- 1 reply
problem with using serverless inference
1
#78 opened about 1 month ago
by
manju2345