GitLab

* fix EVERYTHING

* more fixes

* ⚗️⚗️ Tokenizer magic ⚗️⚗

️

* wrong value but test passes for the TODO

* update

* updat

* safe protobuf import?

* style

* non gated repo

* update

* fixup

* Update src/transformers/models/llama/tokenization_llama.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llama/tokenization_llama.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/t5/test_tokenization_t5.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* nits

* fix t5 too

* use assert equal

* fix llama decoding

* nits on t5

* fixup

* only remove the prefix space, not other spaces

* more deconding tests and more todos

* fix CI as well

* fixup

* skip failing test on CI (its tf its ok)

* skip test_subword_regularization_tokenizer that is also crashing on the CI for TF

* update llama

* revert good fixes

* fixup

* empty

* explain why we need to encode with an additional token

* better warning?

* nits

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* CI with layers=2

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* pad token should be None by default

* fix tests

* nits

* add llama

* add other readmes

* update padding id in readme

* add link to paper

* fix paths and tokenizer

* more nits

* styling

* fit operation in 2 lines when possible

* nits

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add form

* update reademe

* update readme, we don't have a default pad token

* update test and tokenization

* LLaMA instead of Llama

* nits

* add expected text

* add greeedy output

* styling

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* sequential device map

* skip relevant changes

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

* add rope_scaling

* tmp commit

* add gptneox

* add tests

* GPTNeoX can now handle long inputs, so the pipeline test was wrong

* Update src/transformers/models/open_llama/configuration_open_llama.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove ntk

* remove redundant validation

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

[Patch-t5-tokenizer] Patches the changes on T5 to make sure previous behaviour is still valide for beginning of words (#24622)

* patch `_tokenize` function

* more tests

* properly fix

* fixup

* Update src/transformers/models/t5/tokenization_t5.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix without ifs

* update

* protect import

* add python processing

* is first needed

* add doc and update with lefacy

* updaate

* fix T5 SPM converter

* styling

* fix T5 warning

* add is_seqio_available

* remove is_first

* revert some changes

* more tests and update

* update llama test batterie

* fixup

* refactor T5 spm common tests

* draft the llama tests

* update

* uopdate test

* nits

* refine

* name nit

* fix t5 tests

* fix T5

* update

* revert convert slow to fast changes that fail lots of tests

* legacy support

* fixup

* nits is first not defined

* don't use legacy behaviour for switch transformers

* style

* My attempt to check.

* nits

* fixes

* update

* fixup

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* updates

* fixup

* add legacy warning

* fixup

* warning_once nit

* update t5 documentation test

* update llama tok documentation

* add space to warning

* nits

* nit

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* last nits

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* LlamaTokenizer should be picklable

* make fixup

* Update the processor when changing add_eos and add_bos

* fixup

* update

* add a test

* fix failing tests

* fixup

* Adding Llama FastTokenizer support.

- Requires https://github.com/huggingface/tokenizers/pull/1183 version
- Only support byte_fallback for llama, raise otherwise (safety net).
- Lots of questions are special tokens

How to test:

```python

from transformers.convert_slow_tokenizer import convert_slow_tokenizer
from transformers import AutoTokenizer
from tokenizers import Tokenizer

tokenizer = AutoTokenizer.from_pretrained("huggingface/llama-7b")

if False:
    new_tokenizer = Tokenizer.from_file("tok.json")
else:
    new_tokenizer = convert_slow_tokenizer(tokenizer)
    new_tokenizer.save("tok.json")

strings = [
    "This is a test",
    "生活的真谛是",
    "生活的真谛是[MASK]。",
    # XXX: This one is problematic because of special tokens
    # "<s> Something something",
]

for string in strings:
    encoded = tokenizer(string)["input_ids"]
    encoded2 = new_tokenizer.encode(string).ids

    assert encoded == encoded2, f"{encoded} != {encoded2}"

    decoded = tokenizer.decode(encoded)
    decoded2 = new_tokenizer.decode(encoded2)

    assert decoded.strip() == decoded2, f"{repr(decoded)} != {repr(decoded2)}"
```

The converter + some test script.

The test script.

Tmp save.

Adding Fast tokenizer + tests.

Adding the tokenization tests.

Correct combination.

Small fix.

Fixing tests.

Fixing with latest update.

Rebased.

fix copies + normalized added tokens  + copies.

Adding doc.

TMP.

Doc + split files.

Doc.

Versions + try import.

Fix Camembert + warnings -> Error.

Fix by ArthurZucker.

Not a decorator.

* Fixing comments.

* Adding more to docstring.

* Doc rewriting.

* draft

* update tokenization limma and conversion script

* more udpates

* initial commit

* style

* default pad to None

* draft tokenization tests

* update test

* update tokenization tests

* nits

* update

* versioning test

* major fix

* fix more testst

* finish fixing special masks

* last nit

* more nits

* add encode decode tests

* add more

* fix token type ids

* style

* tmp commit

* beef up llama tests

* Add LlamaForSequenceClassification

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Add docstring

* Add test

* Add input embedding getter and setter

* Remove dead code

---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* LLaMA

* sharding and docs

* tweak

* black

* inits

* ruff

* LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP

* init

* no checkpoint

* docs

* ruff

* type_vocab_size

* tokenizer fixes

* tokenizer fixes

* Update tokenization_llama.py

* Update tokenization_llama.py

* Update configuration_llama.py

* Update modeling_llama.py

* tokenizer add_bos by default

* licenses

* remove decoder

* norms and mlp

* rope overhaul

* tweaks

* black

* mention OPT implementation

* off-by-one naming

* typo

* fix

* tokenization fix and slicing bug

* padding config

* cleanup

* black

* update tests

* undo typo

* fix vocab caching logic

* ruff

* docbuilder

* attn fix from BlackSamorez

* initial feedback

* typo

* docs

* llama case

* llama case

* load checkpoint docs

* comment about tokenizer

* tokenizer defaults

* clear past_key_values if use_cache=False

* last tweaks

* last tweaks

* last tweaks

* last tweaks

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Co-authored-by: Stella Biderman <stellabiderman@gmail.com>