Ayush Chaurasia ae0d2f2599 fix: Pydantic 1.x compat for weak_lru caching in embeddings API (#643) ...

Colab has pydantic 1.x by default and pydantic 1.x BaseModel objects
don't support weakref creation by default that we use to cache embedding
models
https://github.com/lancedb/lancedb/blob/main/python/lancedb/embeddings/utils.py#L206
. It needs to be added to slot.

2023-11-10 15:02:38 +05:30

..

__init__.py

Multi-task instructor model with quantization support & weak_lru cache for embedding function models (#612)

2023-11-09 12:34:18 +05:30

base.py

fix: Pydantic 1.x compat for weak_lru caching in embeddings API (#643)

2023-11-10 15:02:38 +05:30

cohere.py

chore: improve create_table API consistency between local and remote SDK (#627)

2023-11-03 13:15:11 -07:00

instructor.py

Multi-task instructor model with quantization support & weak_lru cache for embedding function models (#612)

2023-11-09 12:34:18 +05:30

open_clip.py

Multi-task instructor model with quantization support & weak_lru cache for embedding function models (#612)

2023-11-09 12:34:18 +05:30

openai.py

Multi-task instructor model with quantization support & weak_lru cache for embedding function models (#612)

2023-11-09 12:34:18 +05:30

registry.py

[Python]Embeddings API refactor (#580)

2023-10-17 22:32:19 -07:00

sentence_transformers.py

Multi-task instructor model with quantization support & weak_lru cache for embedding function models (#612)

2023-11-09 12:34:18 +05:30

utils.py

Multi-task instructor model with quantization support & weak_lru cache for embedding function models (#612)

2023-11-09 12:34:18 +05:30