Dataset used for checkpoint in the huggingface
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.3k
- Forks
- 213
- PR merge metrics
- No merged PRs in 30d
Description
Hello! I am now using the CLAP model for my research, and the checkpoints from the huggingface transformers ('laion/clap-htsat-unfused") works best for me.
However, I cannot find exactly which datasets are used for the checkpoint unlike the models linked in this repository.
Can I get exact information about the datasets used for the huggingface pretrained models?
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the Hugging Face checkpoint named laion/clap-htsat-unfused and the repository's existing model documentation. Identify the exact training datasets used for that pretrained model, then document the dataset names and relevant details where the repository records model information.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100