Bump huggingface-hub from 0.33.5 to 0.34.3 in /requirements
Type: Pull Request
State: Open
Association: Contributor
Comments: 0
(4 months ago)
(4 months ago)
dependencies python
Bumps huggingface-hub from 0.33.5 to 0.34.3.
Release notes
Sourced from huggingface-hub's releases.
[v0.34.3] Jobs improvements and
whoamiuser prefix
- [Jobs] Update uv image #3270 by
@lhoestq- [Update] HF Jobs Documentation #3268 by
@ariG23498- Add 'user:' prefix to whoami command output #3267 by
@gary149Full Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.34.2...v0.34.3
[v0.34.2] Bug fixes: Windows path handling & resume download size fix
- bug fix: only extend path on window sys in #3265 by
@vealocia- Fix bad total size after resuming download in #3234 by
@DKingAlphaFull Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.34.1...v0.34.2
[v0.34.1] [CLI] print help if no command provided
Full Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.34.0...v0.34.1
[v0.34.0] Announcing Jobs: a new way to run compute on Hugging Face!
🔥🔥🔥 Announcing Jobs: a new way to run compute on Hugging Face!
We're thrilled to introduce a powerful new command-line interface for running and managing compute jobs on Hugging Face infrastructure! With the new
hf jobscommand, you can now seamlessly launch, monitor, and manage jobs using a familiar Docker-like experience. Run any command in Docker images (from Docker Hub, Hugging Face Spaces, or your own custom images) on a variety of hardware including CPUs, GPUs, and TPUs - all with simple, intuitive commands.Key features:
- 🐳 Docker-like CLI: Familiar commands (
run,ps,logs,inspect,cancel) to run and manage jobs- 🔥 Any Hardware: Instantly access CPUs, T4/A10G/A100 GPUs, and TPUs with a simple flag
- 📦 Run Anything: Use Docker images, HF Spaces, or custom containers
- 📊 Live Monitoring: Stream logs in real-time, just like running locally
- 💰 Pay-as-you-go: Only pay for the seconds you use
- 🧬 UV Runner: Run Python scripts with inline dependencies using
uv(experimental)All features are available both from Python (
run_job,list_jobs, etc.) and the CLI (hf jobs).Example usage:
# Run a Python script on the cloud hf jobs run python:3.12 python -c "print('Hello from the cloud!')"Use a GPU
hf jobs run --flavor=t4-small --namespace=huggingface ubuntu nvidia-smi
List your jobs
hf jobs ps
Stream logs from a job
hf jobs logs <job-id>
Inspect job details
hf jobs inspect <job-id>
Cancel a running job
</tr></table>
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Commits
0bbc5e1Release: v0.34.3f464fc1update uv image (#3270)24c77eb[Update] HF Jobs Documentation (#3268)977c018Add 'user:' prefix to whoami command output for consistency (#3267)6e5fb2bRelease: v0.34.2a626ee2Fix bad total size after resuming download (#3234) (#3248)687f270bug fix: only extend path on window sys (#3265)db6a835Release: v0.34.1e70f0c3[CLI] print help if no command provided (#3262)32023c8Release: v0.34.0- Additional commits viewable in compare view
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Pull Request Statistics
1
2
+2
-2
Package Dependencies
huggingface-hub
pip
0.33.5 → 0.34.3
Minor
/requirements
Technical Details
| ID: | 4317384 |
| UUID: | 2705688779 |
| Node ID: | PR_kwDOClTaK86hRYjL |
| Host: | GitHub |
| Repository: | qubvel-org/segmentation_models.pytorch |
| Merge State: | Unknown |