Releases · elixir-nx/tokenizers

Support for training a tokenizer from scratch. See Tokenizers.Tokenizer.train_from_files/3
and Tokenizers.Model for available models.
Support for changing tokenizer configuration, such as Tokenizers.Tokenizer.set_padding/2
and Tokenizers.Tokenizer.set_truncation/2. See the "Configuration" functions group in
Tokenizers.Tokenizer.
Support for apply multiple encoding transformations without additional data copies,
see Tokenizers.Encoding.Transformation. Transformations can be passed to
Tokenizers.Tokenizer.encode/3 via :encoding_transformations or applied via
Tokenizers.Encoding.transform/2.

Changed

(Breaking) Tokenizers.Tokenizer.encode/3 no longer accepts a batch of inputs,
to encode a batch use Tokenizers.Tokenizer.encode_batch/3 instead
(Breaking) Tokenizers.Tokenizer.decode/3 no longer accepts a batch of inputs,
to encode a batch use Tokenizers.Tokenizer.decode_batch/3 instead

Full Changelog: v0.3.2...v0.4.0

Checksums

SHA256 list:

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Assets 22

19 Apr 22:55

github-actions

v0.3.2

0190d0a

v0.3.2

What's Changed

Release v0.3.2 by @philss in #35

Full Changelog: v0.3.1...v0.3.2

Checksums

SHA256 list:

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Contributors

philss

Assets 22

06 Apr 22:29

philss

v0.3.1

752eaf1

v0.3.1

Added

Add binary variants for accessing encoding data. This way we can convert encoding
data to tensors without additional allocations. The following functions were added:
- get_u32_ids/1
- get_u32_attention_mask/1
- get_u32_type_ids/1
- get_u32_special_tokens_mask/1

Pull requests

Add binary variants for accessing encoding data by @jonatanklosko in #32
Use updated GitHub Actions by @philss in #33

Full Changelog: v0.3.0...v0.3.1

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Contributors

philss and jonatanklosko

Assets 22

04 Mar 19:04

github-actions

v0.3.0

4ebc9aa

v0.3.0

Added

Add option to use cache when downloading pretrained files. We check the ETAG of
the file before trying to download it. This introduces the :use_cache and :cache_dir
options to the Tokenizers.from_pretrained/2 function.
Support adding special tokens when creating a tokenizer. This allows a pretrained
tokenizer to be loaded with additional special tokens.

This change adds the :additional_special_tokens option to the Tokenizers.from_pretrained/2
function.
Add support for the riscv64gc-unknown-linux-gnu target, which is useful for Nerves
projects running on 64 bits RISC-V computers.
This means that we are precompiling the project to run on those machines.

Changed

Change minimum required version of Rustler Precompiled to ~> 0.6. With this, we have
the aarch64-unknown-linux-musl and riscv64gc-unknown-linux-gnu as default targets.
But we also drop support for the NIF version 2.14.

Pull requests

Add option to use cache when download pretrained files by @philss in #23
Fix typos by @kianmeng in #24
Update rustler_precompiled to v0.5.5 by @philss in #25
Feature/add special tokens by @travismorton in #26
Add riscv64gc-unknown-linux-gnu for RISC-V Nerves devices by @fhunleth in #27
Simplify release workflow by @philss in #29
Allow usage of castore 1.0 by @edennis in #30
Updates to release v0.3.0 by @seanmor5 in #31

New Contributors

@kianmeng made their first contribution in #24
@travismorton made their first contribution in #26
@fhunleth made their first contribution in #27
@edennis made their first contribution in #30

Full Changelog: v0.2.0...v0.3.0
Official changelog: https://github.com/elixir-nx/tokenizers/blob/main/CHANGELOG.md

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