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A203 M Gr.E steel plate

Henan Shang Yi Steel Trade Co., Ltd. is an enterprise specializing in steel sales and processing, cargo transportation and other services. It is committed to the production of wear-resistant steel plates, low-alloy high-strength plates, boiler vessel steel plates, composite steel plates, and extra-wide and extra-thick steel plates. Professional services such as bulk sales, warehousing, cutting and distribution. Products cover mining equipment, cement machinery, metallurgical machinery, construction equipment, ship equipment, power equipment, port equipment, transportation and general machinery manufacturing and other industries. The company's steel plate processing plant can cut semi-finished products and special-shaped parts according to user requirements, and can transport on behalf of customers. It is sold all over the country and exported overseas, and has won praise and trust from customers and markets.

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A203 M Gr.E steel plate
ERNIE 2.0: A continual pre-training framework for language ...
ERNIE 2.0: A continual pre-training framework for language ...

ERNIE 2.0, (Enhanced Representation through kNowledge IntEgration), a new knowledge integration language representation model that aims to beat SOTA results of BERT and XLNet.While pre-training with more than just several simple tasks to grasp the co-occurrence of words or sentences for language modeling, Ernie aims to explore named entities, semantic …

Announcing Ernie 2.0 and 2.1 - The GitHub Blog
Announcing Ernie 2.0 and 2.1 - The GitHub Blog

25/2/2010, · Last night I released and upgraded everything to 2.1. Here’s a breakdown of what’s new in ,Ernie 2.0,/2.1 and how we’re using these new features to give you an even better GitHub experience. Native Modules. The biggest new feature in ,Ernie 2.0, is the ability to define handlers in pure Erlang (instead of just Ruby).

Fine-Tune ERNIE 2.0 for Text Classification | by Gagandeep ...
Fine-Tune ERNIE 2.0 for Text Classification | by Gagandeep ...

source. ,ERNIE 2.0, is a continual pre-training framework. Continual l earning aims to train the model with several tasks in sequence so that it remembers the previously learned tasks when learning the new ones. The architecture of continual pre-training contains a series of shared text encoding layers to encode contextual information, which can be customized by using recurrent …

Intuitively Explained: Multi-Task Learning — ERNIE 2.0 ...
Intuitively Explained: Multi-Task Learning — ERNIE 2.0 ...

ERNIE 2.0, has beaten all previous architectures such as XLNet and BERT in every single task of the GLUE benchmark. While the paper implies the groundbreaking results were caused by Continual Multi-Task Learning, there haven’t been ablation studies to prove it.

Intuitively Explained: Multi-Task Learning — ERNIE 2.0 ...
Intuitively Explained: Multi-Task Learning — ERNIE 2.0 ...

ERNIE 2.0, has beaten all previous architectures such as XLNet and BERT in every single task of the GLUE benchmark. While the paper implies the groundbreaking results were caused by Continual Multi-Task Learning, there haven’t been ablation studies to prove it.

Fine-Tune ERNIE 2.0 for Text Classification | by Gagandeep ...
Fine-Tune ERNIE 2.0 for Text Classification | by Gagandeep ...

source. ,ERNIE 2.0, is a continual pre-training framework. Continual l earning aims to train the model with several tasks in sequence so that it remembers the previously learned tasks when learning the new ones. The architecture of continual pre-training contains a series of shared text encoding layers to encode contextual information, which can be customized by using recurrent …

nghuyong/ernie-2.0-large-en · Hugging Face
nghuyong/ernie-2.0-large-en · Hugging Face

ERNIE 2.0, is a continual pre-training framework proposed by Baidu in 2019, which builds and learns incrementally pre-training tasks through constant multi-task learning. Experimental results demonstrate that ,ERNIE 2.0, outperforms BERT and XLNet on 16 tasks including English tasks on GLUE benchmarks and several common tasks in Chinese.

[1907.12412v1] ERNIE 2.0: A Continual Pre-training ...
[1907.12412v1] ERNIE 2.0: A Continual Pre-training ...

29/7/2019, · Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing. Current pre-training procedures usually focus on training the model with several simple tasks to grasp the co-occurrence of words or sentences. …

keras-ernie · PyPI
keras-ernie · PyPI

ERNIE 2.0, Base for English: with params, config and vocabs: Load Pre-trained ERNIE Models import os from ,keras_ernie, import load_from_checkpoint ernie_path = "/root/ERNIE_stable-1.0.1" init_checkpoint = os. path. join ...

[ernie/ernie
[ernie/ernie "0.2.7"] - Clojars

[ernie/ernie "0.2.7"] FIXME: write description

nghuyong/ernie-2.0-large-en · Hugging Face
nghuyong/ernie-2.0-large-en · Hugging Face

ERNIE 2.0, is a continual pre-training framework proposed by Baidu in 2019, which builds and learns incrementally pre-training tasks through constant multi-task learning. Experimental results demonstrate that ,ERNIE 2.0, outperforms BERT and XLNet on 16 tasks including English tasks on GLUE benchmarks and several common tasks in Chinese.

(PDF) ERNIE 2.0: A Continual Pre-training Framework for ...
(PDF) ERNIE 2.0: A Continual Pre-training Framework for ...

In order to extract to the fullest extent, the lexical, syntactic and semantic information from training corpora, we propose a continual pre-training framework named ,ERNIE 2.0, …

Announcing Ernie 2.0 and 2.1 - The GitHub Blog
Announcing Ernie 2.0 and 2.1 - The GitHub Blog

25/2/2010, · Last night I released and upgraded everything to 2.1. Here’s a breakdown of what’s new in ,Ernie 2.0,/2.1 and how we’re using these new features to give you an even better GitHub experience. Native Modules. The biggest new feature in ,Ernie 2.0, is the ability to define handlers in pure Erlang (instead of just Ruby).

ERNIE 2.0: A continual pre-training framework for language ...
ERNIE 2.0: A continual pre-training framework for language ...

ERNIE 2.0, (Enhanced Representation through kNowledge IntEgration), a new knowledge integration language representation model that aims to beat SOTA results of BERT and XLNet.While pre-training with more than just several simple tasks to grasp the co-occurrence of words or sentences for language modeling, Ernie aims to explore named entities, semantic …

[1907.12412v1] ERNIE 2.0: A Continual Pre-training ...
[1907.12412v1] ERNIE 2.0: A Continual Pre-training ...

29/7/2019, · Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing. Current pre-training procedures usually focus on training the model with several simple tasks to grasp the co-occurrence of words or sentences. …

(PDF) ERNIE 2.0: A Continual Pre-training Framework for ...
(PDF) ERNIE 2.0: A Continual Pre-training Framework for ...

In order to extract to the fullest extent, the lexical, syntactic and semantic information from training corpora, we propose a continual pre-training framework named ,ERNIE 2.0, …

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