gptkbp:instance_of
|
gptkb:DNA
|
gptkbp:can_be_extended_by
|
custom vocabularies
|
gptkbp:can_be_used_in
|
Machine Learning models
|
gptkbp:can_handle
|
large datasets
|
gptkbp:developed_by
|
gptkb:Hugging_Face
|
gptkbp:enables
|
efficient text processing
|
gptkbp:features
|
gptkb:Sentence_Piece
Byte Pair Encoding
Word Piece
|
gptkbp:has
|
Python API
C++ API
active user base
|
gptkbp:has_documentation
|
available online
|
https://www.w3.org/2000/01/rdf-schema#label
|
Hugging Face Tokenizers
|
gptkbp:integrates_with
|
gptkb:Transformers_library
|
gptkbp:is_available_in
|
multiple formats
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Py_Torch
gptkb:Oni
|
gptkbp:is_designed_for
|
scalability
|
gptkbp:is_integrated_with
|
gptkb:cloud_services
|
gptkbp:is_often_used_in
|
gptkb:AI_technology
|
gptkbp:is_open_source
|
gptkb:true
|
gptkbp:is_optimized_for
|
gptkb:performance
|
gptkbp:is_part_of
|
gptkb:Hugging_Face_Transformers
AI applications
Hugging Face ecosystem
NLP workflows
|
gptkbp:is_supported_by
|
tutorials
community contributions
community forums
user guides
examples
|
gptkbp:is_updated_by
|
gptkb:true
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
data scientists
|
gptkbp:is_used_for
|
gptkb:translator
data preprocessing
question answering
model evaluation
sentiment analysis
data augmentation
feature extraction
text generation
language modeling
model training
summarization
text classification
|
gptkbp:is_used_in
|
search engines
chatbots
recommendation systems
virtual assistants
|
gptkbp:offers
|
pre-trained tokenizers
|
gptkbp:provides
|
custom tokenization
fast tokenization
tokenization benchmarks
tokenization pipelines
|
gptkbp:supports
|
multiple languages
multi-threading
dynamic padding
subword tokenization
|
gptkbp:used_in
|
gptkb:Natural_Language_Processing
|
gptkbp:written_in
|
gptkb:Rust
|
gptkbp:bfsParent
|
gptkb:Hugging_Face_Transformers
gptkb:Hugging_Face
|
gptkbp:bfsLayer
|
5
|