ColPali 🤝 Vespa - Visual Retrieval
👀
61
Visual Retrieval with ColPali and Vespa
AI & ML interests
Vespa.ai is the open big data serving engine: Store, search, rank and organize big data at user serving time.
Recent Activity
View all activity
Update README.md
#1 opened about 2 months ago
by
abhishek
Update README.md
#1 opened about 2 months ago
by
abhishek
thomasht86
published
a
Space
about 2 months ago
thomasht86
updated
a
Space
about 2 months ago
Adding `safetensors` variant of this model
#2 opened 3 months ago
by
SFconvertbot
Post
4596
🚀 I'm thrilled to announce the launch of Arcee Conductor, a game-changing platform that's about to revolutionize the way you interact with AI models! 🤖 As the pioneers of small language models (SLMs), we've been working tirelessly to bring you the most exciting innovation in the AI space.
Here's a quick TL;DR of what Arcee Conductor is all about:
🌟 Choice and flexibility: Get access to multiple models, including our powerful SLMs and third-party LLMs, to choose the best one for your specific use case
🤖 Intelligent routing: Our platform evaluates which model is best-suited for each of your queries, ensuring you get the most accurate results
📈 Cost savings: Reduce your AI costs with our affordable SLMs, while still having access to leading LLMs when needed
🚀 Easy to get started: Sign up now and try Arcee Conductor today, with 400 million tokens (a $200 value) on us! 🎁
📊 Proven track record: Our SLMs have already racked up 222K+ downloads on Hugging Face, with customers seeing significant cost savings and improved accuracy
For a limited time, you can get $200 credits to use with Conductor for FREE. Check it out here: https://conductor.arcee.ai
Here's a quick TL;DR of what Arcee Conductor is all about:
🌟 Choice and flexibility: Get access to multiple models, including our powerful SLMs and third-party LLMs, to choose the best one for your specific use case
🤖 Intelligent routing: Our platform evaluates which model is best-suited for each of your queries, ensuring you get the most accurate results
📈 Cost savings: Reduce your AI costs with our affordable SLMs, while still having access to leading LLMs when needed
🚀 Easy to get started: Sign up now and try Arcee Conductor today, with 400 million tokens (a $200 value) on us! 🎁
📊 Proven track record: Our SLMs have already racked up 222K+ downloads on Hugging Face, with customers seeing significant cost savings and improved accuracy
For a limited time, you can get $200 credits to use with Conductor for FREE. Check it out here: https://conductor.arcee.ai
-
- 3 replies
thomasht86
updated
a
Space
about 1 year ago
Post
2638
🎉 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
Post
6053
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
-
- 6 replies
abhishek
authored
a
paper
about 1 year ago
Post
1880
🚨 NEW TASK ALERT 🚨
Extractive Question Answering: because sometimes generative is not all you need 😉
AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 🚀
Check out the blog post on getting started with this task: https://huggingface.co/blog/abhishek/extractive-qa-autotrain
Extractive Question Answering: because sometimes generative is not all you need 😉
AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 🚀
Check out the blog post on getting started with this task: https://huggingface.co/blog/abhishek/extractive-qa-autotrain
Post
3337
You can now train/finetune custom sentence transformer embedding models using AutoTrain. Read blog: https://huggingface.co/blog/abhishek/finetune-custom-embeddings-autotrain
-
- 2 replies
Post
2946
🚨 NEW TASK ALERT 🚨
🎉 AutoTrain now supports Object Detection! 🎉
Transform your projects with these powerful new features:
🔹 Fine-tune any supported model from the Hugging Face Hub
🔹 Seamless logging with TensorBoard or W&B
🔹 Support for local and hub datasets
🔹 Configurable training for tailored results
🔹 Train locally or leverage Hugging Face Spaces
🔹 Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain
🎉 AutoTrain now supports Object Detection! 🎉
Transform your projects with these powerful new features:
🔹 Fine-tune any supported model from the Hugging Face Hub
🔹 Seamless logging with TensorBoard or W&B
🔹 Support for local and hub datasets
🔹 Configurable training for tailored results
🔹 Train locally or leverage Hugging Face Spaces
🔹 Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain
Post
3108
🚀🚀🚀🚀 Introducing AutoTrain Configs! 🚀🚀🚀🚀
Now you can train models using yaml config files! 💥 These configs are easy to understand and are not at all overwhelming. So, even a person with almost zero knowledge of machine learning can train state of the art models without writing any code. Check out example configs in the config directory of autotrain-advanced github repo and feel free to share configs by creating a pull request 🤗
Github repo: https://github.com/huggingface/autotrain-advanced
Now you can train models using yaml config files! 💥 These configs are easy to understand and are not at all overwhelming. So, even a person with almost zero knowledge of machine learning can train state of the art models without writing any code. Check out example configs in the config directory of autotrain-advanced github repo and feel free to share configs by creating a pull request 🤗
Github repo: https://github.com/huggingface/autotrain-advanced
- 2 replies
Post
3077
Post
2375
Trained another version of llama3-8b-instruct which beats the base model. This time without losing too many points on gsm8k benchmark. Again, using AutoTrain 💥 pip install autotrain-advanced
Trained model: https://huggingface.co/abhishek/autotrain-llama3-orpo-v2
Trained model: https://huggingface.co/abhishek/autotrain-llama3-orpo-v2
-
- 1 reply
Post
3486
With AutoTrain, you can already finetune the latest llama3 models without writing a single line of code. Here's an example finetune of llama3 8b model: https://huggingface.co/abhishek/autotrain-llama3-no-robots
-
- 2 replies
Post
Happy to announce, brand new, open-source Hugging Face Competitions platform 🚀 Now, create a machine learning competition for your friends, colleagues or the world for FREE* and host it on Hugging Face: the AI community building the future. Creating a competition requires only two steps:
pip install competitions, then run competitions create and create competition by answering a few questions 💥 Checkout the github repo: https://github.com/huggingface/competitions and docs: https://hf.co/docs/competitions
-
- 6 replies