Statements (162)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:api |
gptkb:Python
gptkb:Rust gptkb:Java_Script |
| gptkbp:can_be_used_for |
gptkb:translator
question answering text generation text classification named entity recognition |
| gptkbp:developed_by |
gptkb:Hugging_Face
|
| gptkbp:facilitates |
transfer learning
|
| gptkbp:has_community |
gptkb:Git_Hub
open-source contributors user forums |
| gptkbp:has_documentation |
API documentation
tutorials |
| gptkbp:has_examples_for |
text summarization
image captioning |
| gptkbp:has_feature |
gptkb:Documentation
gptkb:Io_T_solutions research papers cloud integration community contributions multi-language support performance optimization visualization tools active community custom model training examples and tutorials model evaluation tools model versioning easy installation collaboration with researchers tokenization model sharing easy-to-use interface support for adversarial training support for federated learning support for batch processing support for multiple architectures support for logging and monitoring support for reinforcement learning support for streaming data support for transfer learning support for ethical AI practices support for hyperparameter tuning model fine-tuning pipeline API pre-trained model downloads support for bias detection support for collaborative training support for custom datasets support for distributed training support for embeddings support for explainability support for large-scale training support for mixed precision training support for model auditing support for model compression support for model distillation support for on-device inference support for privacy-preserving training support for pruning support for quantization support for real-time inference support for reproducibility support for various tasks user-friendly API |
| gptkbp:has_features |
API access
API endpoints cloud integration collaboration tools community support sample code tutorial videos version control visualization tools model evaluation custom model training model evaluation metrics model evaluation tools transfer learning batch processing data preprocessing tools logging and monitoring distributed training experiment tracking model optimization cloud services integration model deployment options pre-built models data augmentation tools state-of-the-art performance local deployment options easy-to-use API |
| https://www.w3.org/2000/01/rdf-schema#label |
Hugging Face Transformers
|
| gptkbp:includes |
gptkb:Model
gptkb:Ford_Model_T GPT-2 model tokenizers Distil BERT model |
| gptkbp:integrates_with |
gptkb:Tensor_Flow
gptkb:Keras gptkb:Py_Torch gptkb:Tensor_Flow_Hub datasets library |
| gptkbp:is_available_in |
cloud platforms
local environments |
| gptkbp:is_available_on |
gptkb:Git_Hub
|
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Python gptkb:Hugging_Face_Datasets gptkb:Hugging_Face_Tokenizers gptkb:Jupyter_Notebook |
| gptkbp:is_documented_in |
Hugging Face documentation
|
| gptkbp:is_influential_in |
AI development
|
| gptkbp:is_part_of |
gptkb:AI_technology
NLP tools Hugging Face ecosystem |
| gptkbp:is_popular_in |
machine learning community
|
| gptkbp:is_recognized_by |
gptkb:developers
AI researchers |
| gptkbp:is_supported_by |
gptkb:Stack_Overflow
community forums Git Hub issues |
| gptkbp:is_updated_by |
yes
|
| gptkbp:is_used_by |
gptkb:developers
gptkb:researchers data scientists |
| gptkbp:is_used_in |
academic papers
industry applications |
| gptkbp:latest_version |
4.21.1
|
| gptkbp:notable_contributor |
various organizations
|
| gptkbp:offers |
fine-tuning capabilities
|
| gptkbp:provides |
gptkb:Documentation
datasets pre-trained models pipelines model training scripts tokenizers model card |
| gptkbp:released_in |
gptkb:2018
|
| gptkbp:supports |
gptkb:Tensor_Flow
gptkb:Py_Torch multiple languages natural language processing fine-tuning distributed training model sharing multi-GPU training multi-language models |
| gptkbp:tutorials |
advanced users
beginners |
| gptkbp:used_for |
gptkb:translator
natural language processing question answering text generation text classification |
| gptkbp:written_in |
gptkb:Python
|
| gptkbp:bfsParent |
gptkb:Ford_Model_T
gptkb:Py_Torch |
| gptkbp:bfsLayer |
4
|