Teguayco Gutiérrez
Teguayco Gutiérrez
Is there any way of generating, let's say, a million records quickly? I've checked the option `exporter.fhir.bulk_data` but it still generates the records one at a time... Thanks in advance.
When generating data for patients using the property `exporter.fhir.bulk_data = true` there are a lot of ```ndjson``` files that are generated in the output directory but I am only interested...
This is occurring, not always, when accessing the `_type` property of a query:  It's strange because, after the error is raised and the debugger is stopped on that line,...
Hi guys, First of all, thanks for this library. I came across with it today and it's amazing. Inspecting the source code I see that, when storing images on ElasticSearch,...
Is there a way we can embed this map in a responsive way? I only see we can set `width` and `height` props with px values.
Any idea why this may be happening? There is a message `Failed to save database` in the logs, and it occurs quite often. ``` 2022-09-01T14:21:04.634Z Waiting 5.72 sec Failed to...
### Issue details I've successfully connected Jadx GUI Debugger with an app running in Genymotion, but I can't see any way to add a breakpoint to start debugging in the...
### Discussed in https://github.com/pydantic/pydantic/discussions/9449 Originally posted by **tteguayco** May 17, 2024 We're able to create a new model dynamically using `create_model()` like this: ```python from pydantic import create_model base_model =...
### Initial Checks - [X] I have searched Google & GitHub for similar requests and couldn't find anything - [X] I have read and followed [the docs](https://docs.pydantic.dev) and still think...
### Describe the bug Trying to run the following fine-tuning script (based on this page [here](https://github.com/huggingface/instruction-tuned-sd)): ``` ! accelerate launch /content/instruction-tuned-sd/finetune_instruct_pix2pix.py \ --pretrained_model_name_or_path=${MODEL_ID} \ --dataset_name=${DATASET_NAME} \ --use_ema \ --enable_xformers_memory_efficient_attention \...