Repository navigation
Expand file tree
/
Copy pathday3_run.log
More file actions
35 lines (31 loc) · 3.87 KB
/
Copy pathday3_run.log
File metadata and controls
35 lines (31 loc) · 3.87 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
python.exe : E:\unknown\UNKNOWN_Medical_Command_Center\venv\Lib\site-packages\h
uggingface_hub\utils\_validators.py:205: UserWarning: The
`local_dir_use_symlinks` argument is deprecated and ignored in
`snapshot_download`. Downloading to a local directory does not use symlinks
anymore.
At line:1 char:293
+ ... ndex.pkl }; & "e:/unknown/UNKNOWN_Medical_Command_Center/venv/Scripts ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ CategoryInfo : NotSpecified: (E:\unknown\UNKN...mlinks anymore.
:String) [], RemoteException
+ FullyQualifiedErrorId : NativeCommandError
warnings.warn(
===================================================
STARTING DAY 3: VECTOR CORE MATRIX EMBEDDING
===================================================
Fetching 15 files: 0%| | 0/15 [00:00<?, ?it/s]
Fetching 15 files: 100%|##########| 15/15 [00:00<00:00, 370.38it/s]
E:\unknown\UNKNOWN_Medical_Command_Center\src\ingestion\vector_store.py:46:
LangChainDeprecationWarning: The class `HuggingFaceEmbeddings` was deprecated
in LangChain 0.2.2 and will be removed in 1.0. An updated version of the class
exists in the `langchain-huggingface package and should be used instead. To
use it run `pip install -U `langchain-huggingface` and import as `from
`langchain_huggingface import HuggingFaceEmbeddings``.
self.embeddings = HuggingFaceEmbeddings(
[UNKNOWN INIT] Downloading and spinning up clinical weights: NeuML/pubmedbert-base-embeddings...
Loading weights: 0%| | 0/199 [00:00<?, ?it/s]
Loading weights: 100%|##########| 199/199 [00:00<00:00, 2359.63it/s]
[UNKNOWN SYSTEM] Importing target search chunks from ./data/processed\child_documents.pkl...
[UNKNOWN CORE] Beginning incremental vector migration for 37,398 blocks...
Ingesting Vectors to ChromaDB: 0%| | 0/74 [00:00<?, ?it/s]
Ingesting Vectors to ChromaDB: 1%|1 | 1/74 [00:40<49:02, 40.31s/it]