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860264379f
* lets begin * boom boom * fix out proj in attn * fix attention * fix local attention * add tokenizer * fix imports * autotokenizer * fix checkpoint name * cleanup * more clean-up * more cleanup * output attentions * fix attn mask creation * fix imports * config doc * add tests * add slow tests * quality * add conversion script * copyright * typo * another bites the dust * fix attention tests * doc * add embed init in convert function * fix copies * remove tokenizer * enable caching * address review comments * improve config and create attn layer list internally * more consistent naming * init hf config from mesh-tf config json file * remove neo tokenizer from doc * handle attention_mask in local attn layer * attn_layers => attention_layers * add tokenizer_class in config * fix docstring * raise if len of attention_layers is not same as num_layers * remove tokenizer_class from config * more consistent naming * fix doc * fix checkpoint names * fp16 compat * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
66 lines
2.8 KiB
ReStructuredText
66 lines
2.8 KiB
ReStructuredText
..
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Copyright 2021 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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GPT Neo
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-----------------------------------------------------------------------------------------------------------------------
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Overview
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The GPTNeo model was released in the `EleutherAI/gpt-neo <https://github.com/EleutherAI/gpt-neo>`__ repository by Sid
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Black, Stella Biderman, Leo Gao, Phil Wang and Connor Leahy. It is a GPT2 like causal language model trained on the
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`Pile <https://pile.eleuther.ai/>`__ dataset.
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The architecture is similar to GPT2 except that GPT Neo uses local attention in every other layer with a window size of
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256 tokens.
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Generation
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_______________________________________________________________________________________________________________________
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The :obj:`generate()` method can be used to generate text using GPT Neo model.
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.. code-block::
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>>> from transformers import GPTNeoForCausalLM, GPT2Tokenizer
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>>> model = GPTNeoForCausalLM.from_pretrained("EleutherAI/gpt_neo_xl")
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>>> tokenizer = GPT2Tokenizer.from_pretrained("EleutherAI/gpt_neo_xl")
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>>> prompt = "In a shocking finding, scientists discovered a herd of unicorns living in a remote, " \
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... "previously unexplored valley, in the Andes Mountains. Even more surprising to the " \
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... "researchers was the fact that the unicorns spoke perfect English."
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>>> input_ids = tokenizer(unicorns, return_tensors="pt").input_ids
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>>> gen_tokens = model.generate(ids, do_sample=True, temperature=0.9, max_length=100,)
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>>> gen_text = tokenizer.batch_decode(gen_tokens)[0]
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GPTNeoConfig
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.GPTNeoConfig
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:members:
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GPTNeoModel
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.GPTNeoModel
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:members: forward
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GPTNeoForCausalLM
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.GPTNeoForCausalLM
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:members: forward
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