hf-mcp-server/test-mcp-logs
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evalstate
updated
a
dataset
about 1 hour ago
Post
1955
Hugging Face MCP Server v0.2.40
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Improved progressive disclosure and descriptions for Jobs tool.
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Improved progressive disclosure and descriptions for Jobs tool.
Post
291
Hugging Face MCP Server v0.2.35
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$HF_TOKEN is expanded in Jobs Secrets environment variables.
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$HF_TOKEN is expanded in Jobs Secrets environment variables.
Post
302
Hugging Face MCP Server v0.2.33
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Allow discovery of Product Documentation Library via the Search tool.
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Allow discovery of Product Documentation Library via the Search tool.
Post
234
Hugging Face MCP Server v0.2.31
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- OpenAI Apps SDK Support for Gradio Content Generation spaces
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- OpenAI Apps SDK Support for Gradio Content Generation spaces
Post
328
Hugging Face MCP Server v0.2.29
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- Document Fetch tool now returns markdown direct from HF Docs rather than processed.
- Relative URLs accepted for Fetch
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- Document Fetch tool now returns markdown direct from HF Docs rather than processed.
- Relative URLs accepted for Fetch
Post
7821
BOOOOM: Today I'm dropping TINY AGENTS
the 50 lines of code Agent in Javascript 🔥
I spent the last few weeks working on this, so I hope you will like it.
I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.
It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.
But while doing that, came my second realization:
Once you have a MCP Client, an Agent is literally just a while loop on top of it. 🤯
➡️ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
the 50 lines of code Agent in Javascript 🔥
I spent the last few weeks working on this, so I hope you will like it.
I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.
It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.
But while doing that, came my second realization:
Once you have a MCP Client, an Agent is literally just a while loop on top of it. 🤯
➡️ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
- 1 reply
Post
4242
Important notice 🚨
For Inference Providers who have built support for our Billing API (currently: Fal, Novita, HF-Inference – with more coming soon), we've started enabling Pay as you go (=PAYG)
What this means is that you can use those Inference Providers beyond the free included credits, and they're charged to your HF account.
You can see it on this view: any provider that does not have a "Billing disabled" badge, is PAYG-compatible.
For Inference Providers who have built support for our Billing API (currently: Fal, Novita, HF-Inference – with more coming soon), we've started enabling Pay as you go (=PAYG)
What this means is that you can use those Inference Providers beyond the free included credits, and they're charged to your HF account.
You can see it on this view: any provider that does not have a "Billing disabled" badge, is PAYG-compatible.
- 9 replies
Post
11192
After some heated discussion 🔥, we clarify our intent re. storage limits on the Hub
TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)
docs: https://huggingface.co/docs/hub/storage-limits
We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community 🔥
cc: @reach-vb @pierric @victor and the HF team
TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)
docs: https://huggingface.co/docs/hub/storage-limits
We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community 🔥
cc: @reach-vb @pierric @victor and the HF team
- 29 replies
Post
3262
wow 😮
INTELLECT-1 is the first collaboratively trained 10 billion parameter language model trained from scratch on 1 trillion tokens of English text and code.
PrimeIntellect/INTELLECT-1-Instruct
INTELLECT-1 is the first collaboratively trained 10 billion parameter language model trained from scratch on 1 trillion tokens of English text and code.
PrimeIntellect/INTELLECT-1-Instruct
Post
5271
Hey it was good meeting you yesterday
@MaziyarPanahi
🔥
thanks @mishig for setting this up
Let's make the Hub as useful as possible for the community ❤️
thanks @mishig for setting this up
Let's make the Hub as useful as possible for the community ❤️
- 1 reply
Post
6959
text-generation-inference (TGI) is now fully open-source again!
Along with text-embeddings-inference.
We just switched both of those repos' license back to Apache 2. 🔥
Along with text-embeddings-inference.
We just switched both of those repos' license back to Apache 2. 🔥
Post
3228
Very glad to welcome
@josefprusa
, pioneer of 3D printing and open source hardware, founder of https://www.prusa3d.com/, to the HF Hub 👋
AI applied to 3D printing could be big.
AI applied to 3D printing could be big.
- 1 reply
Post
671 authors 🤯
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2403.05530) Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2403.05530) Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- 2 replies
Post
What if you could casually access your remote GPU in HF Spaces from the comfort of your local VSCode 🤯
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- 8 replies
Post
📣 NEW on HF
the Dataset Viewer is now available on *private datasets* too
You need to be a PRO or a Enterprise Hub user. 🔥
Great work from our Datasets team 🥰: @lhoestq @severo @polinaeterna @asoria @albertvillanova and the whole team 🥰
the Dataset Viewer is now available on *private datasets* too
You need to be a PRO or a Enterprise Hub user. 🔥
Great work from our Datasets team 🥰: @lhoestq @severo @polinaeterna @asoria @albertvillanova and the whole team 🥰
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- 1 reply
julien-c
authored
3
papers
over 2 years ago
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
Paper
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1901.08149
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Published
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3
Continuous Learning in a Hierarchical Multiscale Neural Network
Paper
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1805.05758
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Published
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2
Meta-Learning a Dynamical Language Model
Paper
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1803.10631
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Published
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1