CohereLabs/cohere-transcribe-03-2026
Automatic Speech Recognition • Updated • 253k • 933
cezer
cezer
·
AI & ML interests
None yet
Recent Activity
liked a model 1 day ago
CohereLabs/cohere-transcribe-03-2026 liked a model 15 days ago
openai/privacy-filter liked a dataset about 1 month ago
purvanshi/lica-dataOrganizations
liked a
model 1 day ago
liked a
model 15 days ago
liked a
dataset about 1 month ago
upvoted a collection about 1 month ago
liked a
model 3 months ago
upvoted an article 3 months ago
Article
Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders
•
794
liked a
model 3 months ago
upvoted a collection 3 months ago
liked a
Space 7 months ago
liked a
model 7 months ago
liked 2
models 8 months ago
upvoted a collection 9 months ago
liked a
model 9 months ago
liked 3
Spaces 9 months ago
reacted to mrs83's post with 🚀 9 months ago
Post
2761
Introducing Completionist, an open-source command-line tool that automates synthetic dataset generation.
It works by iterating over an existing HF dataset and by using a LLM to create completions.
- Problem: You need a fast way to create custom datasets for fine-tuning or RAG, but you want the flexibility to use different LLM backends or your own infrastructure.
- Solution: Completionist connects with any OpenAI-compatible endpoint, including Ollama and LM Studio, or a Hugging Face inference endpoint.
A simple CLI like Completionist gives you the possibility to take full control of your synthetic data generation workflow.
👉 Check out Completionist on GitHub: https://github.com/ethicalabs-ai/completionist
Synthetic Dataset Example: https://huggingface.co/datasets/ethicalabs/kurtis-mental-health-v2-sft-reasoning
It works by iterating over an existing HF dataset and by using a LLM to create completions.
- Problem: You need a fast way to create custom datasets for fine-tuning or RAG, but you want the flexibility to use different LLM backends or your own infrastructure.
- Solution: Completionist connects with any OpenAI-compatible endpoint, including Ollama and LM Studio, or a Hugging Face inference endpoint.
A simple CLI like Completionist gives you the possibility to take full control of your synthetic data generation workflow.
👉 Check out Completionist on GitHub: https://github.com/ethicalabs-ai/completionist
Synthetic Dataset Example: https://huggingface.co/datasets/ethicalabs/kurtis-mental-health-v2-sft-reasoning
- 1 reply
upvoted a collection 9 months ago
liked a
dataset 9 months ago