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gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:developed_by
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gptkb:Hugging_Face
|
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gptkbp:features
|
model evaluation
model deployment
model training
|
|
gptkbp:first_released
|
gptkb:2019
|
|
gptkbp:has
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gptkb:Research_Institute
tutorials
API access
community support
user-friendly interface
examples
active contributors
|
|
gptkbp:has_documentation
|
available online
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Transformers library
|
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gptkbp:includes
|
tokenizers
|
|
gptkbp:integrates_with
|
gptkb:Hugging_Face_Hub
|
|
gptkbp:is_available_on
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gptkb:Py_PI
conda
|
|
gptkbp:is_compatible_with
|
gptkb:Google_Colab
gptkb:computer
gptkb:Kaggle
|
|
gptkbp:is_often_used_in
|
gptkb:film_production_company
gptkb:Research_Institute
startups
academia
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_part_of
|
Hugging Face ecosystem
|
|
gptkbp:is_used_by
|
gptkb:physicist
gptkb:software
data scientists
|
|
gptkbp:is_used_for
|
gptkb:language
dialog systems
natural language processing
question answering
sentiment analysis
text generation
language modeling
summarization
text classification
named entity recognition
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:latest_version
|
4.21.1
|
|
gptkbp:provides
|
pre-trained models
fine-tuning capabilities
transformer architectures
|
|
gptkbp:repository
|
gptkb:archive
|
|
gptkbp:supports
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
multiple languages
distributed training
custom models
multi-GPU training
|
|
gptkbp:bfsParent
|
gptkb:Hugging_Face
gptkb:Hugging_Face_Model_Hub
|
|
gptkbp:bfsLayer
|
4
|