Commit Graph

12 Commits

Author SHA1 Message Date
Ludovic Leroux
939411300a
Bump vLLM version + more options when loading models in vLLM (#1782)
* Bump vLLM version to 0.3.2

* Add vLLM model loading options

* Remove transformers-exllama

* Fix install exllama
2024-03-01 22:48:53 +01:00
Ettore Di Giacinto
cb7512734d
transformers: correctly load automodels (#1643)
* backends(transformers): use AutoModel with LLM types

* examples: animagine-xl

* Add codellama examples
2024-01-26 00:13:21 +01:00
Ettore Di Giacinto
5e335eaead
feat(transformers): support also text generation (#1630)
* feat(transformers): support also text generation

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* embedded: set seed -1

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2024-01-23 23:07:31 +01:00
Ettore Di Giacinto
b4b21a446b
feat(conda): share envs with transformer-based backends (#1465)
* feat(conda): share env between diffusers and bark

* Detect if env already exists

* share diffusers and petals

* tests: add petals

* Use smaller model for tests with petals

* test only model load on petals

* tests(petals): run only load model tests

* Revert "test only model load on petals"

This reverts commit 111cfa97f1.

* move transformers and sentencetransformers to common env

* Share also transformers-musicgen
2023-12-21 08:35:15 +01:00
Ettore Di Giacinto
7641f92cde
feat(diffusers): update, add autopipeline, controlnet (#1432)
* feat(diffusers): update, add autopipeline, controlenet

* tests with AutoPipeline

* simplify logic
2023-12-13 19:20:22 +01:00
Ettore Di Giacinto
48e5380e45
tests: add diffusers tests (#1419) 2023-12-11 08:20:34 +01:00
Ettore Di Giacinto
887b3dff04
feat: cuda transformers (#1401)
* Use cuda in transformers if available

tensorflow probably needs a different check.

Signed-off-by: Erich Schubert <kno10@users.noreply.github.com>

* feat: expose CUDA at top level

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* tests: add to tests and create workflow for py extra backends

* doc: update note on how to use core images

---------

Signed-off-by: Erich Schubert <kno10@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Erich Schubert <kno10@users.noreply.github.com>
2023-12-08 15:45:04 +01:00
Dave
8b6e601405
Feat: new backend: transformers-musicgen (#1387)
Transformers-MusicGen
---------

Signed-off-by: Dave <dave@gray101.com>
2023-12-08 10:01:02 +01:00
B4ckslash
2d64d8b444
fix/docs: Python backend dependencies (#1360)
* Update docs for new requirements.txt path

Signed-off-by: Marcus Köhler <khler.marcus@gmail.com>

* Fix typo (.PONY -> .PHONY) in python backend makefiles

Signed-off-by: Marcus Köhler <khler.marcus@gmail.com>

---------

Signed-off-by: Marcus Köhler <khler.marcus@gmail.com>
2023-11-30 17:46:55 +01:00
Ettore Di Giacinto
c75bdd99e4
fix: rename transformers.py to avoid circular import (#1337)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2023-11-26 08:49:43 +01:00
B4ckslash
9dddd1134d
fix: move python header comments below shebang in some backends (#1321)
* Fix python header comments for some extra gRPC backends

When a Python script is to be executed directly via exec(3), either the platform knows how to execute
the file itself (i.e. special configuration is necessary) or the first line
contains a shebang (#!) specifying the interpreter to run it (similar to
shell scripts).

The shebang MUST be on the first line for the script to work on all platforms,
so any header comments need to be in the lines following it. Otherwise
executing these scripts as extra backends will yield an "exec format
error" message.

Changes:
* Move introductory comments below the shebang line
* Change header comment in transformers.py to refer to the correct
  python module

Signed-off-by: Marcus Köhler <khler.marcus@gmail.com>

* Make header comment in ttsbark.py more specific

Signed-off-by: Marcus Köhler <khler.marcus@gmail.com>

---------

Signed-off-by: Marcus Köhler <khler.marcus@gmail.com>
2023-11-23 15:22:37 +01:00
Ettore Di Giacinto
92cbc4d516
feat(transformers): add embeddings with Automodel (#1308)
* Update huggingface.py

Switch SentenceTransformer for AutoModel in order to set trust_remote_code needed to use the encode method with embeddings models like jinai-v2

Signed-off-by: Lucas Hänke de Cansino <lhc@next-boss.eu>

* feat(transformers): split in separate backend

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Lucas Hänke de Cansino <lhc@next-boss.eu>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Lucas Hänke de Cansino <lhc@next-boss.eu>
2023-11-20 21:21:17 +01:00