Deploying Language Models on Azure Kubernetes: A Complete Beginner's Guide
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Deploying Language Models on Azure Kubernetes: A Complete Beginner's Guide
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Deploying Language Models on Azure Kubernetes: A Complete Beginner's Guide
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#44 opened 2 months ago
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Dizzl500
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models
2 months ago
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zamal's
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2 months ago
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Hello, lovely community! š
zamal/Molmo-4bit Thrilled to announce that the Molmo 7B 4-bit Space is now live! š The model size has been reduced by six times with almost no performance loss, and the results will leave you amazed!
It runs on zero GPU, making it incredibly accessible for everyone!
Check it out here and start exploring today!
Happy experimenting! š
zamal/Molmo-4bit Thrilled to announce that the Molmo 7B 4-bit Space is now live! š The model size has been reduced by six times with almost no performance loss, and the results will leave you amazed!
It runs on zero GPU, making it incredibly accessible for everyone!
Check it out here and start exploring today!
Happy experimenting! š
supported languages ?
#3 opened 4 months ago
by
vpkprasanna
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an
update
4 months ago
Post
510
# Excited to Share: New LLM Tokenization - Convert Text to tokens and vice versa! š
I've just developed a powerful tool for anyone working with Language Models (LLMs) or diving into Natural Language Processing (NLP).
š Introducing the LLM Tokenization - Convert Text to tokens and vice versa!!
Key Features:
- Convert text to tokens and token IDs
- Reverse engineer: convert token IDs back to text
- Support for popular models: LLama3 (Will add more models iteratively)
- User-friendly Gradio interface for easy interaction
Whether you're debugging your NLP pipeline, exploring how different models tokenize text, or just curious about the inner workings of LLMs, this tool is for you!
š©āš» Tech Stack:
- Python
- Gradio for the web interface
- Hugging Face Transformers for tokenization
The application is deployed in Hugging Face spaces as Gradio application
š Try it out: https://lnkd.in/g6R5z9k2
#NLP #MachineLearning #AI #PythonDevelopment #OpenSource
I've just developed a powerful tool for anyone working with Language Models (LLMs) or diving into Natural Language Processing (NLP).
š Introducing the LLM Tokenization - Convert Text to tokens and vice versa!!
Key Features:
- Convert text to tokens and token IDs
- Reverse engineer: convert token IDs back to text
- Support for popular models: LLama3 (Will add more models iteratively)
- User-friendly Gradio interface for easy interaction
Whether you're debugging your NLP pipeline, exploring how different models tokenize text, or just curious about the inner workings of LLMs, this tool is for you!
š©āš» Tech Stack:
- Python
- Gradio for the web interface
- Hugging Face Transformers for tokenization
The application is deployed in Hugging Face spaces as Gradio application
š Try it out: https://lnkd.in/g6R5z9k2
#NLP #MachineLearning #AI #PythonDevelopment #OpenSource
Feature Request
#1 opened 4 months ago
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vpkprasanna
Supported Languages
1
#72 opened 4 months ago
by
vpkprasanna
Tokenization Output
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#37 opened 4 months ago
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vpkprasanna
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PaliGemma ā Google's Cutting-Edge Open Vision Language Model
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Hardware Requirements
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#2 opened 9 months ago
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vpkprasanna
Error loading the dataset
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#5 opened 9 months ago
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vpkprasanna
Memory Requirements
#5 opened 10 months ago
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vpkprasanna
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[READ IF YOU DO NOT HAVE ACCESS] Getting access to the model
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#6 opened about 1 year ago
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osanseviero