Comments (2)
bclavie
commented on July 1, 2024
Hey! Thanks for flagging, this is a good catch!
This is the same problem as the one I just replied to in the other issue: I've missed an important update on the README. The way to load an existing index is no longer RAGPretrainedModel.from_pretrained() but RAGPretrainedModel.from_index(index_path).
Please let me know if this works for you, and I'll update the README accordingly until the previous way of loading works as expected again.
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hochbergg
commented on July 1, 2024
Works for me! Thanks!
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Related Issues (20)
- add_to_index uses too much GPU RAM and crashes HOT 1
- What should I do if I want a blank, untrained ColBRET? HOT 1
- How to check the centroids and the data in the clusters?
- Feature Request : Please include server search code from official Colbert repository into this repository for production usages.
- How to do Indexing using from_index() on CPU only? HOT 4
- Trainer stuck HOT 7
- How to load a fine-tuned model? HOT 5
- About Fine-Tuning
- Stuck at " Loading segmented_maxsim_cpp extension (set COLBERT_LOAD_TORCH_EXTENSION_VERBOSE=True for more info)..." HOT 1
- ImportError: cannot import name 'PromptTemplate' from 'llama_index' (unknown location)
- Compatibility with LangChain 0.2.0 HOT 2
- How to extract embeddings generated by Colbert? HOT 2
- Idea: Make CorpusProcessor (and splitter_fn / preprocessing_fn) to have access to metadata
- Embedding Model with Existing Index
- How to index collection using generator function?
- Training script is not working as is
- Making deletions will alter the collection.json file, hence the search function unusable because we access the collection using list indices.
- can't access my finetuned model
- Use base model or sentence transformer
- ragatouille requires a version of numpy uncompatible with python
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