mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-03 21:00:08 +06:00
c89bdfbe72
* Put models in subfolders * Styling * Fix imports in tests * More fixes in test imports * Sneaky hidden imports * Fix imports in doc files * More sneaky imports * Finish fixing tests * Fix examples * Fix path for copies * More fixes for examples * Fix dummy files * More fixes for example * More model import fixes * Is this why you're unhappy GitHub? * Fix imports in conver command
117 lines
4.7 KiB
ReStructuredText
117 lines
4.7 KiB
ReStructuredText
OpenAI GPT2
|
|
-----------------------------------------------------------------------------------------------------------------------
|
|
|
|
Overview
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
OpenAI GPT-2 model was proposed in `Language Models are Unsupervised Multitask Learners
|
|
<https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf>`_ by Alec
|
|
Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei and Ilya Sutskever. It's a causal (unidirectional)
|
|
transformer pretrained using language modeling on a very large corpus of ~40 GB of text data.
|
|
|
|
The abstract from the paper is the following:
|
|
|
|
*GPT-2 is a large transformer-based language model with 1.5 billion parameters, trained on a dataset[1] of 8 million
|
|
web pages. GPT-2 is trained with a simple objective: predict the next word, given all of the previous words within some
|
|
text. The diversity of the dataset causes this simple goal to contain naturally occurring demonstrations of many tasks
|
|
across diverse domains. GPT-2 is a direct scale-up of GPT, with more than 10X the parameters and trained on more than
|
|
10X the amount of data.*
|
|
|
|
Tips:
|
|
|
|
- GPT-2 is a model with absolute position embeddings so it's usually advised to pad the inputs on the right rather than
|
|
the left.
|
|
- GPT-2 was trained with a causal language modeling (CLM) objective and is therefore powerful at predicting the next
|
|
token in a sequence. Leveraging this feature allows GPT-2 to generate syntactically coherent text as it can be
|
|
observed in the `run_generation.py` example script.
|
|
- The PyTorch models can take the `past` as input, which is the previously computed key/value attention pairs. Using
|
|
this `past` value prevents the model from re-computing pre-computed values in the context of text generation. See
|
|
`reusing the past in generative models <../quickstart.html#using-the-past>`__ for more information on the usage of
|
|
this argument.
|
|
|
|
`Write With Transformer <https://transformer.huggingface.co/doc/gpt2-large>`__ is a webapp created and hosted by
|
|
Hugging Face showcasing the generative capabilities of several models. GPT-2 is one of them and is available in five
|
|
different sizes: small, medium, large, xl and a distilled version of the small checkpoint: `distilgpt-2`.
|
|
|
|
The original code can be found `here <https://openai.com/blog/better-language-models/>`__.
|
|
|
|
|
|
GPT2Config
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.GPT2Config
|
|
:members:
|
|
|
|
|
|
GPT2Tokenizer
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.GPT2Tokenizer
|
|
:members: save_vocabulary
|
|
|
|
|
|
GPT2TokenizerFast
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.GPT2TokenizerFast
|
|
:members:
|
|
|
|
|
|
GPT2 specific outputs
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.models.gpt2.modeling_gpt2.GPT2DoubleHeadsModelOutput
|
|
:members:
|
|
|
|
.. autoclass:: transformers.models.gpt2.modeling_tf_gpt2.TFGPT2DoubleHeadsModelOutput
|
|
:members:
|
|
|
|
|
|
GPT2Model
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.GPT2Model
|
|
:members: forward
|
|
|
|
|
|
GPT2LMHeadModel
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.GPT2LMHeadModel
|
|
:members: forward
|
|
|
|
|
|
GPT2DoubleHeadsModel
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.GPT2DoubleHeadsModel
|
|
:members: forward
|
|
|
|
|
|
GPT2ForSequenceClassification
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.GPT2ForSequenceClassification
|
|
:members: forward
|
|
|
|
|
|
TFGPT2Model
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.TFGPT2Model
|
|
:members: call
|
|
|
|
|
|
TFGPT2LMHeadModel
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.TFGPT2LMHeadModel
|
|
:members: call
|
|
|
|
|
|
TFGPT2DoubleHeadsModel
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. autoclass:: transformers.TFGPT2DoubleHeadsModel
|
|
:members: call
|