- 28 Mar, 2024 1 commit
-
-
Arthur authored
* fix * fix test * style * nit * rather rely on concert token to id * fix quality * Update src/transformers/convert_slow_tokenizer.py
-
- 22 Mar, 2024 1 commit
-
-
fxmarty authored
* correct llava mask * fix vipllava as wlel * mask out embedding for padding tokens * add test * fix style * add setter * fix test on suggestion
-
- 20 Mar, 2024 1 commit
-
-
NielsRogge authored
* First draft * Fix tests, add docs * Improve docstrings * Fix test * Address comments * Address comments * Remove vocab_size attribute * Remove batch_size * Address comment * Add image processor tests * Support fx * Update docstring * Add support for 34b * Convert 34b model * Add integration tests * Update checkpoints * Convert vicuna-13b, remove doc tests * Remove script * Remove file * Address comments * Improve docstrings * Deprecate vocab_size * Remove aspect_ratio_setting * Address comments * Update READMEs * Add tips about chat templates * Fix tests * Deprecate vocab_size safely * Update tests --------- Co-authored-by:Amy Roberts <22614925+amyeroberts@users.noreply.github.com>
-
- 10 Jan, 2024 1 commit
-
-
Victor SANH authored
* fix `_merge_input_ids_with_image_features` for llava model * Update src/transformers/models/llava/modeling_llava.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * adress comments * style and tests * ooops * test the backward too * Apply suggestions from code review Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update tests/models/vipllava/test_modeling_vipllava.py * style and quality --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
-
- 22 Dec, 2023 1 commit
-
-
Younes Belkada authored
* fix llava index errors * forward contrib credits from original implementation and fix * better fix * final fixes and fix all tests * fix * fix nit * fix tests * add regression tests --------- Co-authored-by:gullalc <gullalc@users.noreply.github.com>
-
- 07 Dec, 2023 1 commit
-
-
Younes Belkada authored
* add model like * logits match * minor fixes * fixes * up * up * add todo * llava processor * keep the processor simple * add conversion script * fixup * fix copies * up * add to index * fix config + logits * fix * refactor * more refactor * more refactor * fix copies * add authors * v1 tests * add `LlavaProcessor` in init * remove unneeded import * up * up * docs * up * fix CI * fix CI * add attention mask in test * make fixup * remove the vision model * that' s the dirty way to do it * nits * nits * updates * add more tests * add input tests * fixup * more styling * nits * updates amd cleanup * fixup the generation expected results * fix the testing script * some cleanup and simplification which does not work yet but almost there! * make correct dispatch operations * vectorize works for batch of images and text * last todos * nits * update test and modeling code * remove useless function for now * fix few issues * fix generation * some nits * add bakllava * nits * remove duplicated code * finis merge * cleanup * missed this line * fill the todos * add left padding offset * add left and rignt padding logic * bool to properly index * make sure * more cleanups * batch is fixed
馃槈 * add correct device for tensor creation * fix some dtype missmatch * ruff * update conversion script * Update src/transformers/__init__.py * fa 2 support + fix conversion script * more * correct reshaping * fix test dict * fix copies by ignoring * fix nit * skip clip vision model * fixup * fixup * LlavaForVisionText2Text -> LlavaForCausalLM * update * fix * raise correct errors * fix * docs * nuke for now * nits here and there * fixup * fix remaining tests * update LlavaForConditionalGeneration instead of CausalLM * fixups * pipeline support * slow and piepline tests * supports batch * nits * cleanup * fix first integration tests * add pad token where needed * correct etsts * fixups * update pipeline testr * fix quality * nits * revert unneeded change * nit * use BatchFeature * from ...feature_extraction_utils import BatchFeature * nits * nits * properly update * more f*** nits * fix copies * comment * keep slow test slow * Update src/transformers/models/llava/processing_llava.py Co-authored-by:Arthur <48595927+ArthurZucker@users.noreply.github.com> * add piepline example * add pixel values in docstrign * update pr doctest * fix * fix slow tests * remove hack * fixup * small note * forward contrib credits from PR25789 * forward contrib credits from original implementation and work * add arthur * Update src/transformers/models/llava/processing_llava.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * update docstring * nit * move to not doctested because of timeout issues * fixup * add description * more * fix-copies * fix docs * add beam search * add more comments * add typehints on processor * add speedup plot * update slow tests and docs * push test * push batched test * fix batched generation with different number of images * remove benchmark due to a bug * fix test * fix copies * add gcolab demo --------- Co-authored-by:
Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by:
shauray8 <shauray8@users.noreply.github.com> Co-authored-by:
haotian-liu <haotian-liu@users.noreply.github.com> Co-authored-by:
Lysandre Debut <hi@lysand.re>
-