Comments (2)
Sounds like a great idea! I'm not super familiar with Colab, but it shouldn't be difficult, so I'll be setting this up with the upcoming bunch of code updates. Thanks for suggesting this, Paulo!
from colbert.
Btw there are two really cool demos here: https://github.com/terrierteam/pyterrier_colbert
I believe they're already set up to use Colab!
from colbert.
Related Issues (20)
- Process stuck on Launcher while training using example code
- incremental training on colbert
- [incremental indexing] - IndexUpdater.update_searcher is successful but search result does not show newly indexed passage HOT 1
- ColBERTv1: Faiss_depth usage in retrieval
- [c++] Calling pop() on an empty stack causes "undefined behavior"
- Searcher.search intermittent bug after IndexUpdater.persist_to_disk HOT 2
- Trainer.train() should not take checkpoint as an argument and should use self.config.checkpoint HOT 1
- Clarification on PLAID retrieval HOT 6
- Multiprocessing takes forever after on .get() with mp.Queue() (Possible Deadlock) HOT 2
- How to use a designated GPU for training? HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: '***/.venv/lib/python3.8/site-packages/colbert/modeling/segmented_maxsim.cpp' HOT 3
- Duplicate search results when `k` is a high value HOT 8
- Recall and MRR for checkpoint different from paper HOT 2
- Using GPU, ColBERT.try_load_torch_extensions from IndexUpdater reports "Error building extension 'segmented_lookup_cpp'" HOT 1
- How to see progress of Indexing HOT 2
- About training from scratch HOT 8
- low recall@1k HOT 2
- about the ranking operation HOT 1
- FAILED: decompress_residuals.cuda.o, ninja: build stopped: subcommand failed (from: ColBERT/colbert/indexing/codecs/decompress_residuals.cu) HOT 6
- Fine tuning using colbert-ir/colbertv2.0 using training script now gives error HOT 6
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