Comments (1)
bling0830
commented on May 28, 2024
api.py is used to deploy retrieval services.
The picture is consistent with the result of successful deployment. At this time, the IP accessing the retrieval service can be retrieved, and the status of "200" will be displayed if the retrieval is successful.
You can refer to this link to debug the retrieval service.
https://fastapi.tiangolo.com/#interactive-api-docs
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Related Issues (20)
- Customize knowledge db HOT 3
- Approximate Training Time HOT 11
- Question For Training Dataset HOT 2
- 200G retrieval library HOT 1
- Need more ressources? :) HOT 1
- Re_gptForCausalLM were not initialized from the model checkpoint at EleutherAI/gpt-neo-125M
- Eval_loss NaN with train/train.py
- Prepare_load
- Error while training HOT 1
- Unable to reproduce PPL for GPT-Neo-125M using lm-eval HOT 1
- Unable to reproduce Langboat/ReGPT-125M-200G‘s PPL result. HOT 2
- trainer训练很慢 HOT 1
- prepare_load.py dosen't filter the len(input_ids) < chunk_size data like dataset.py
- About the compute resources HOT 2
- Any Web Demo to have a look at it?
- Prompt for Result
- Langboat/ReGPT-125M-200G score isn't reproducable HOT 2
- Whole stack didn't work with python 3.7 but does with python 3.8
- In order to get evaluation to work i had to change config.json
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