microsoft/Magma-8B
Image-Text-to-Text
•
Updated
•
12.7k
•
331
Charles Norton PRO
phanerozoic
AI & ML interests
Machina vincit omnia
Recent Activity
new activity
16 days ago
microsoft/Magma-8B:Update README.md
updated
a model
17 days ago
microsoft/Magma-8B
liked
a model
17 days ago
microsoft/Magma-8B
Organizations
phanerozoic's activity
Update README.md
2
#4 opened 17 days ago
by
phanerozoic
updated
a
model
17 days ago
liked
a
model
17 days ago
reacted to
openfree's
post with ❤️
17 days ago
Post
7851
Datasets Convertor 🚀
openfree/Datasets-Convertor
Welcome to Datasets Convertor, the cutting-edge solution engineered for seamless and efficient data format conversion. Designed with both data professionals and enthusiasts in mind, our tool simplifies the transformation process between CSV, Parquet, and JSONL, XLS file formats, ensuring that your data is always in the right shape for your next analytical or development challenge. 💻✨
Why Choose Datasets Convertor?
In today’s data-driven world, managing and converting large datasets can be a daunting task. Our converter is built on top of robust technologies like Pandas and Gradio, delivering reliable performance with a modern, intuitive interface. Whether you’re a data scientist, analyst, or developer, Datasets Convertor empowers you to effortlessly switch between formats while maintaining data integrity and optimizing storage.
Key Features and Capabilities:
CSV ⇆ Parquet Conversion:
Easily transform your CSV files into the highly efficient Parquet format and vice versa. Parquet’s columnar storage not only reduces file size but also accelerates query performance—a critical advantage for big data analytics. 🔄📂
CSV to JSONL Conversion:
Convert CSV files to JSONL (newline-delimited JSON) to facilitate efficient, line-by-line data processing. This format is particularly useful for streaming data applications, logging systems, and scenarios where incremental data processing is required. Each CSV row is meticulously converted into an individual JSON record, preserving all the metadata and ensuring compatibility with modern data pipelines. 📄➡️📝
Parquet to JSONL Conversion:
For those working with Parquet files, our tool offers a streamlined conversion to JSONL.
Parquet to XLS Conversion.
openfree/Datasets-Convertor
Welcome to Datasets Convertor, the cutting-edge solution engineered for seamless and efficient data format conversion. Designed with both data professionals and enthusiasts in mind, our tool simplifies the transformation process between CSV, Parquet, and JSONL, XLS file formats, ensuring that your data is always in the right shape for your next analytical or development challenge. 💻✨
Why Choose Datasets Convertor?
In today’s data-driven world, managing and converting large datasets can be a daunting task. Our converter is built on top of robust technologies like Pandas and Gradio, delivering reliable performance with a modern, intuitive interface. Whether you’re a data scientist, analyst, or developer, Datasets Convertor empowers you to effortlessly switch between formats while maintaining data integrity and optimizing storage.
Key Features and Capabilities:
CSV ⇆ Parquet Conversion:
Easily transform your CSV files into the highly efficient Parquet format and vice versa. Parquet’s columnar storage not only reduces file size but also accelerates query performance—a critical advantage for big data analytics. 🔄📂
CSV to JSONL Conversion:
Convert CSV files to JSONL (newline-delimited JSON) to facilitate efficient, line-by-line data processing. This format is particularly useful for streaming data applications, logging systems, and scenarios where incremental data processing is required. Each CSV row is meticulously converted into an individual JSON record, preserving all the metadata and ensuring compatibility with modern data pipelines. 📄➡️📝
Parquet to JSONL Conversion:
For those working with Parquet files, our tool offers a streamlined conversion to JSONL.
Parquet to XLS Conversion.
commented on
Grok 3 ai : Best AI model now!
22 days ago
The training cost of Grok 3 is much higher than that of DeepSeek-R1, but the performance gap is not that big. I am not optimistic about Grok 3.
I see your point and agree. The gap in performance doesn’t seem to justify the massive cost. I have my doubts about Grok 3 as well.
Keep political biases away from AI
17
#63 opened 23 days ago
by
gotothemoon
Am I the only one who laughs at westoid obsession with what the Chinese had in the square? Rly?
18
#64 opened 23 days ago
by
Stormtau
Any reason why abliteration was not tried out?
4
#2 opened 24 days ago
by
ucalyptus
liked
a
model
24 days ago
updated
a
Space
24 days ago
upvoted
an
article
about 2 months ago
Article
SmolVLM Grows Smaller – Introducing the 250M & 500M Models!
•
154
🚩 Report
#4 opened about 2 months ago
by
phanerozoic
updated
a
collection
2 months ago
updated
a
dataset
2 months ago
updated
a
collection
2 months ago
updated
a
dataset
2 months ago
liked
2
models
2 months ago
liked
a
Space
2 months ago
liked
a
model
2 months ago
