facebookresearch / facebookresearch/jepa
Context encoder and predictor weights
- Dominant language
- Python
- Stars
- 4.1k
- Forks
- 422
- PR merge metrics
- No merged PRs in 30d
Description
@MidoAssran @soniajoseph Thanks for the great work and maintaining the repo. I would like to fine tune the model, but if I am not mistaken, the context encoder and predictor weights are not published. Are you planning to publish those? If not, can I use target encoder weights as context encoder weights and just train a predictor from scratch?
Contributor guide
Research direction
No files, tests, or entry points are named in the issue. Start by locating the model-checkpoint and weight-loading entry points in the repository, then verify whether context-encoder and predictor weights are present or documented. Done means the repository clearly answers whether those weights are published and how fine-tuning should use them.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100