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takara.ai
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AI & ML interests
GenAI, Diffusion, LLM's and State of the Art Solutions.
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takarajordanΒ
updated
a
Space
7 days ago
takarajordanΒ
posted
an
update
7 days ago
Post
1045
I made an RSS feed for HuggingFace Daily Papers!! π€
Just Subscribe here: https://papers.takara.ai/api/feed
It updates every 24 hours, completely written as a serverless go script with a Redis cache (to avoid hitting HF all the time).
I'm open sourcing the code, you can check out my repo and deploy it on Vercel extremely easily!
https://github.com/404missinglink/HF-Daily-Papers-Feeds
thanks to @John6666 @p3nGu1nZz for your early support
Just Subscribe here: https://papers.takara.ai/api/feed
It updates every 24 hours, completely written as a serverless go script with a Redis cache (to avoid hitting HF all the time).
I'm open sourcing the code, you can check out my repo and deploy it on Vercel extremely easily!
https://github.com/404missinglink/HF-Daily-Papers-Feeds
thanks to @John6666 @p3nGu1nZz for your early support
takarajordanΒ
posted
an
update
14 days ago
Post
2199
I'm super excited to release my first open-source text dataset:
WorldScenario 20K is a novel dataset of 20,000 synthetically generated multi-stakeholder scenarios designed to simulate real-world decision-making processes. Each scenario explores a unique environmental, societal, or economic issue.
I used the brand new meta-llama/Llama-3.3-70B-Instruct model to generate this dataset and I put the dataset through some post processing to clean and evaluate the dataset for diversity.
I'd appreciate some feedback and thoughts on my new release! Thanks!
takarajordan/WorldScenario_20K
WorldScenario 20K is a novel dataset of 20,000 synthetically generated multi-stakeholder scenarios designed to simulate real-world decision-making processes. Each scenario explores a unique environmental, societal, or economic issue.
I used the brand new meta-llama/Llama-3.3-70B-Instruct model to generate this dataset and I put the dataset through some post processing to clean and evaluate the dataset for diversity.
I'd appreciate some feedback and thoughts on my new release! Thanks!
takarajordan/WorldScenario_20K
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- 7 replies
takarajordanΒ
posted
an
update
28 days ago
Post
1207
I'm not sure why I haven't done this already!
I just made a space to count and visualize tokens for Diffusion models, no more guesswork! It's super fast too.
Check it out here and try out your prompts: takarajordan/DiffusionTokenizer
Uses these tokenizers below:
openai/clip-vit-large-patch14
google/t5-v1_1-xxl
I just made a space to count and visualize tokens for Diffusion models, no more guesswork! It's super fast too.
Check it out here and try out your prompts: takarajordan/DiffusionTokenizer
Uses these tokenizers below:
openai/clip-vit-large-patch14
google/t5-v1_1-xxl
takarajordanΒ
posted
an
update
about 1 month ago
Post
1120
First post here goes!
takarajordan/CineDiffusion
Super excited to announce CineDiffusionπ₯, it creates images up to 4.2 Megapixels in Cinematic ultrawide formats like:
- 2.39:1 (Modern Widescreen)
- 2.76:1 (Ultra Panavision 70)
- 3.00:1 (Experimental Ultra-wide)
- 4.00:1 (Polyvision)
- 2.55:1 (CinemaScope)
- 2.20:1 (Todd-AO)
More to come soon!!
Thanks to @John6666 and @Resoldjew for your early support <3
And thanks to the team at ShuttleAI for their brand new Shuttle-3 model, what an amazing job.
shuttleai/shuttle-3-diffusion
takarajordan/CineDiffusion
Super excited to announce CineDiffusionπ₯, it creates images up to 4.2 Megapixels in Cinematic ultrawide formats like:
- 2.39:1 (Modern Widescreen)
- 2.76:1 (Ultra Panavision 70)
- 3.00:1 (Experimental Ultra-wide)
- 4.00:1 (Polyvision)
- 2.55:1 (CinemaScope)
- 2.20:1 (Todd-AO)
More to come soon!!
Thanks to @John6666 and @Resoldjew for your early support <3
And thanks to the team at ShuttleAI for their brand new Shuttle-3 model, what an amazing job.
shuttleai/shuttle-3-diffusion
takarajordanΒ
updated
a
model
about 2 months ago
Post
3391
ππ»ββοΈhey there folks,
periodic reminder : if you are experiencing β οΈ500 errors β οΈ or β οΈ abnormal
we have a thread ππ» https://discord.com/channels/879548962464493619/1295847667515129877
if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps π€π€π€
periodic reminder : if you are experiencing β οΈ500 errors β οΈ or β οΈ abnormal
spaces behavior on load or launch β οΈwe have a thread ππ» https://discord.com/channels/879548962464493619/1295847667515129877
if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps π€π€π€
- 2 replies
Librarian Bot: Add language metadata for dataset
1
#2 opened 2 months ago
by
librarian-bot
takarajordanΒ
updated
a
Space
about 2 months ago
takarajordanΒ
updated
a
model
about 2 months ago
Post
1088
boomers still pick zenodo.org instead of huggingface ??? absolutely clownish nonsense , my random datasets have 30x more downloads and views than front page zenodos ... gonna write a comparison blog , but yeah... cringe.
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- 1 reply
Post
817
ππ»ββοΈ hey there folks ,
really enjoying sharing cool genomics and protein datasets on the hub these days , check out our cool new org : https://huggingface.co/seq-to-pheno
scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !
really enjoying sharing cool genomics and protein datasets on the hub these days , check out our cool new org : https://huggingface.co/seq-to-pheno
scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !
Post
1446
hey there folks,
twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares π¦π¦
Tonic/on-device-granite-3.0-1b-a400m-instruct
new granite on device instruct model demo , hope you like it ππ
twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares π¦π¦
Tonic/on-device-granite-3.0-1b-a400m-instruct
new granite on device instruct model demo , hope you like it ππ
takarajordanΒ
updated
a
model
2 months ago
takarajordanΒ
updated
a
dataset
2 months ago
takarajordanΒ
updated
a
model
2 months ago
Post
984
if you're encountering 500 errors on spaces that seem to work otherwise , kindly consider screenshotting and sharing the link here : https://discord.com/channels/879548962464493619/1295847667515129877
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- 7 replies
takarajordanΒ
updated
a
model
3 months ago
Post
2736
ππ»ββοΈhey there folks ,
did you know that https://huggingface.co/lmms-lab released a new version of ππLlava on thursday ? Now it has π₯video understanding !
check it out ππ»
collection : lmms-lab/llava-video-661e86f5e8dabc3ff793c944
demo : Tonic/Llava-Video
did you know that https://huggingface.co/lmms-lab released a new version of ππLlava on thursday ? Now it has π₯video understanding !
check it out ππ»
collection : lmms-lab/llava-video-661e86f5e8dabc3ff793c944
demo : Tonic/Llava-Video
Post
1853
ππ»ββοΈ Hey there folks ,
π¦Salamandra release by @mvillegas and team
@BSC_CNS https://huggingface.co/BSC-LT is absolutely impressive so far !
perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.
the best part : the data was correctly licenced so it's actually future-proof!
the completions model is really creative and instruct fine tuned version is very good also.
now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.
check out ππ»
the collection : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
π¦Salamandra release by @mvillegas and team
@BSC_CNS https://huggingface.co/BSC-LT is absolutely impressive so far !
perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.
the best part : the data was correctly licenced so it's actually future-proof!
the completions model is really creative and instruct fine tuned version is very good also.
now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.
check out ππ»
the collection : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B