transformers
f18c95b4 - Update Korean tutorial for using LLMs, and refactor the nested conditional statements in hr_argparser.py (#27489)

Commit

2 years ago

Update Korean tutorial for using LLMs, and refactor the nested conditional statements in hr_argparser.py (#27489) docs: Update Korean LLM tutorial to use Mistral-7B, not Llama-v1

References

#27489 - Update Korean tutorial for using LLMs, and refactor the nested conditional statements in hr_argparser.py

#27720 - Add common processor tests

#29969 - [SigLIP] Add fast tokenizer

#32831 - [Docs] Update resources

#33111 - [Backbone] Remove out_features everywhere

#33174 - [Zero-shot image classification pipeline] Remove tokenizer_kwargs

#59 - Fix attention mask handling in EoMT-DINOv3 converter

#62 - Add initial DEIMv2 model implementation

#65 - Fix RTDetrV2 sine position embedding ordering

#44375 - Add RF-DETR

#71 - Use Mask2Former ignore_value in mask matching and losses

#44385 - Fix make check-repo

#45082 - [VidEoMT] Update conversion script

#45110 - Add SAM 3.1

Author

YeonwooSung

Parents

87e217d0

transformers f18c95b4 - Update Korean tutorial for using LLMs, and refactor the nested conditional statements in hr_argparser.py (#27489)

transformers
f18c95b4 - Update Korean tutorial for using LLMs, and refactor the nested conditional statements in hr_argparser.py (#27489)