HNSWTuner
🎛
Tune HNSW search parameters and view recall‑latency results
AI & ML interests
Vespa.ai is the open big data serving engine: Store, search, rank and organize big data at user serving time.
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raduvespa
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Space 26 days ago
raduvespa
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Space about 1 month ago
thomasht86
updated a
Space 2 months ago
thomasht86
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model 2 months ago
thomasht86
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model 2 months ago
thomasht86
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Space 3 months ago
abhishek
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Space 3 months ago
abhishek
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abhishek
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abhishek
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thomasht86
published a
Space 4 months ago
Update README.md
#1 opened 6 months ago
by 
abhishek
Update README.md
#1 opened 6 months ago
by abhishek
thomasht86
published a
Space 6 months ago
Adding `safetensors` variant of this model
#2 opened 8 months ago
by 
SFconvertbot
thomasht86
updated a
Space over 1 year ago
Post
2674
🎉 SUPER BLACK FRIDAY DEAL 🎉
Train almost any model on a variety of tasks such as llm finetuning, text classification/regression, summarization, question answering, image classification/regression, object detection, tabular data, etc for FREE using AutoTrain locally. 🔥
https://github.com/huggingface/autotrain-advanced
Train almost any model on a variety of tasks such as llm finetuning, text classification/regression, summarization, question answering, image classification/regression, object detection, tabular data, etc for FREE using AutoTrain locally. 🔥
https://github.com/huggingface/autotrain-advanced
thomasht86
updated a
dataset over 1 year ago
andreer
updated a
Space over 1 year ago
Post
6057
INTRODUCING Hugging Face AutoTrain Client 🔥
Fine-tuning models got even easier!!!!
Now you can fine-tune SOTA models on all compatible dataset-model pairs on Hugging Face Hub using Python on Hugging Face Servers. Choose from a number of GPU flavors, millions of models and dataset pairs and 10+ tasks 🤗
To try, install autotrain-advanced using pip. You can ignore dependencies and install without --no-deps and then you'd need to install some dependencies by hand.
"pip install autotrain-advanced"
Github repo: https://github.com/huggingface/autotrain-advanced
Fine-tuning models got even easier!!!!
Now you can fine-tune SOTA models on all compatible dataset-model pairs on Hugging Face Hub using Python on Hugging Face Servers. Choose from a number of GPU flavors, millions of models and dataset pairs and 10+ tasks 🤗
To try, install autotrain-advanced using pip. You can ignore dependencies and install without --no-deps and then you'd need to install some dependencies by hand.
"pip install autotrain-advanced"
Github repo: https://github.com/huggingface/autotrain-advanced
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