Stas Bekman 7682e97702 [models] respect dtype of the model when instantiating it (#12316) ...

* [models] respect dtype of the model when instantiating it

* cleanup

* cleanup

* rework to handle non-float dtype

* fix

* switch to fp32 tiny model

* improve

* use dtype.is_floating_point

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix the doc

* recode to use explicit torch_dtype_auto_detect, torch_dtype args

* docs and tweaks

* docs and tweaks

* docs and tweaks

* merge 2 args, add docs

* fix

* fix

* better doc

* better doc

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

2021-06-28 20:11:21 -07:00

..

callback.rst

Add example for registering callbacks with trainers (#10928)

2021-04-05 12:27:23 -04:00

configuration.rst

Copyright (#8970)

2020-12-07 18:36:34 -05:00

data_collator.rst

Doc check: a bit of clean up (#11224)

2021-04-13 12:14:25 -04:00

deepspeed.rst

[models] respect dtype of the model when instantiating it (#12316)

2021-06-28 20:11:21 -07:00

feature_extractor.rst

Add ImageFeatureExtractionMixin (#10905)

2021-03-26 11:23:56 -04:00

logging.rst

Logging propagation (#10092)

2021-02-09 10:27:49 -05:00

model.rst

[models] respect dtype of the model when instantiating it (#12316)

2021-06-28 20:11:21 -07:00

optimizer_schedules.rst

Seq2seq trainer (#9241)

2020-12-22 11:33:44 -05:00

output.rst

update QuickTour docs to reflect model output object (#11462)

2021-04-26 22:18:37 -04:00

pipelines.rst

Fix doc deployment

2021-05-13 10:34:14 -04:00

processors.rst

Examples reorg (#11350)

2021-04-21 11:11:20 -04:00

tokenizer.rst

Documentation about loading a fast tokenizer within Transformers (#11029)

2021-04-05 10:51:16 -04:00

trainer.rst

remove extra white space from log format (#12360)

2021-06-25 13:20:14 -07:00