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Specialty Transformers

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2CSM228565R0812  TS16/12-24 C
ABB
ABB DIN Rail transformer
Quantity: 1
Ship Date: 10-15 working days
1+ $106.0821
- +
x $106.0821
Ext. Price: $106.08
MOQ: 1
Mult: 1
TS16/4-6-8
ABB
ABB DIN Rail transformer
Quantity: 5000
Ship Date: 4-8 weeks
50+ $50.5626
- +
x $50.5626
Ext. Price: $2528.13
MOQ: 50
Mult: 1
SPQ: 1
2CSM228555R0812  TS10/12-24 C
ABB
ABB DIN Rail transformer
Quantity: 4
Ship Date: 7-13 working days
1+ $92.6267
- +
x $92.6267
Ext. Price: $92.62
MOQ: 1
Mult: 1
2CSM228755R0802  TM30/12
ABB
230V 4V(AC),8V(AC),12V(AC) 30W DINRail installation 85mm*65mm*65mm
Quantity: 8
Ship Date: 7-13 working days
1+ $66.448
- +
x $66.448
Ext. Price: $66.44
MOQ: 1
Mult: 1
TS16/4-8-12
ABB
ABB DIN Rail transformer
Quantity: 5000
Ship Date: 4-8 weeks
50+ $50.5626
- +
x $50.5626
Ext. Price: $2528.13
MOQ: 50
Mult: 1
SPQ: 1
TS8/12
ABB
ABB DIN Rail transformer
Quantity: 5000
Ship Date: 4-8 weeks
50+ $47.393
- +
x $47.393
Ext. Price: $2369.65
MOQ: 50
Mult: 1
SPQ: 1
2CSM228735R0802  TM15/12
ABB
230V 4V~12V(AC) 15W 85mm*35mm*65mm
Quantity: 11
Ship Date: 10-15 working days
1+ $42.6252
- +
x $42.6252
Ext. Price: $85.25
MOQ: 2
Mult: 1
2CSM228695R0812  TS24/8-12-24
ABB
230V 24V 3W 65mm*52.5mm*85mm
Quantity: 3
Ship Date: 7-13 working days
1+ $80.0004
- +
x $80.0004
Ext. Price: $80.00
MOQ: 1
Mult: 1
2CSM228715R0802  TM10/12
ABB
230V 4V~12V(AC) 10W 85mm*35mm*65mm
Quantity: 14
Ship Date: 10-15 working days
1+ $55.2386
- +
x $55.2386
Ext. Price: $110.47
MOQ: 2
Mult: 1
2CSM228725R0802  TM10/24
ABB
230V 12V~24V(AC) 10W 85mm*35mm*65mm
Quantity: 20
Ship Date: 10-15 working days
1+ $53.1505
- +
x $53.1505
Ext. Price: $106.30
MOQ: 2
Mult: 1
2CSM228765R0802  TM30/24
ABB
ABB DIN Rail transformer
Quantity: 4
Ship Date: 7-13 working days
1+ $66.448
- +
x $66.448
Ext. Price: $66.44
MOQ: 1
Mult: 1
2CSM228585R0802  TM 15/12 ES
ABB
230V 12V 15W 65mm*85mm*65mm
Quantity: 22
Ship Date: 7-13 working days
1+ $65.4195
- +
x $65.4195
Ext. Price: $65.41
MOQ: 1
Mult: 1
2CSM631043R0811  TS 63/12-24 C
ABB
ABB DIN Rail transformer
Quantity: 1
Ship Date: 7-13 working days
1+ $194.5206
- +
x $194.5206
Ext. Price: $194.52
MOQ: 1
Mult: 1
TS16/8
ABB
ABB DIN Rail transformer
Quantity: 5000
Ship Date: 4-8 weeks
50+ $49.6447
- +
x $49.6447
Ext. Price: $2482.23
MOQ: 50
Mult: 1
SPQ: 1
TS8/4-8-12SW
ABB
ABB DIN Rail transformer
Quantity: 5000
Ship Date: 4-8 weeks
50+ $58.851
- +
x $58.851
Ext. Price: $2942.55
MOQ: 50
Mult: 1
SPQ: 1
2CSM401043R0811  TS 40/12-24 C
ABB
230V 24V 40W 120mm*85mm*70mm
Quantity: 1
Ship Date: 10-15 working days
1+ $237.9021
- +
x $237.9021
Ext. Price: $237.90
MOQ: 1
Mult: 1
TS8/12SW
ABB
ABB DIN Rail transformer
Quantity: 5000
Ship Date: 4-8 weeks
50+ $57.4389
- +
x $57.4389
Ext. Price: $2871.94
MOQ: 50
Mult: 1
SPQ: 1
TS8/8SW
ABB
ABB DIN Rail transformer
Quantity: 9
Ship Date: 10-15 working days
1+ $38.6448
- +
x $38.6448
Ext. Price: $77.28
MOQ: 2
Mult: 1
TM15/24
ABB
230V 24V 15W 65mm*85mm*65mm
Quantity: 5
Ship Date: 10-15 working days
1+ $47.378
- +
x $47.378
Ext. Price: $94.75
MOQ: 2
Mult: 1
2CSM228785R0802  TM40/24
ABB
ABB DIN Rail transformer
Quantity: 25
Ship Date: 7-13 working days
1+ $81.1531
- +
x $81.1531
Ext. Price: $81.15
MOQ: 1
Mult: 1
TC1000
ABB
Quantity: 7
Ship Date: 7-9 working days
2+ $67.5956
5+ $63.1661
- +
x $67.5956
Ext. Price: $135.19
MOQ: 2
Mult: 1
SPQ: 1
TS16/12
ABB
ABB DIN Rail transformer
Quantity: 5000
Ship Date: 4-8 weeks
50+ $49.6447
- +
x $49.6447
Ext. Price: $2482.23
MOQ: 50
Mult: 1
SPQ: 1
2CSM228615R0812  TS16/24
ABB
ABB DIN Rail transformer
Quantity: 0
Ship Date: 7-13 working days
1+ $102.701
- +
x $102.701
Ext. Price: $102.70
MOQ: 1
Mult: 1
TS8/8
ABB
ABB DIN Rail transformer
Quantity: 0
Ship Date: 7-13 working days
1+ $85.0081
- +
x $85.0081
Ext. Price: $85.00
MOQ: 1
Mult: 1
2CSM081012R0811  TS 8/4-6-8SW
ABB
ABB DIN Rail transformer
Quantity: 0
Ship Date: 7-13 working days
1+ $109.1514
- +
x $109.1514
Ext. Price: $109.15
MOQ: 1
Mult: 1

Specialty Transformers

Other Transformers refers to a class of neural network architectures that extend the capabilities of the original Transformer model, which was introduced in the paper "Attention Is All You Need" by Vaswani et al. in 2017. The original Transformer model revolutionized the field of natural language processing (NLP) with its use of self-attention mechanisms to process sequences of data, such as text or time series.

Definition:
Other Transformers are variations or extensions of the basic Transformer architecture, designed to address specific challenges or to improve performance in various tasks. They often incorporate additional layers, attention mechanisms, or training techniques to enhance the model's capabilities.

Functions:
1. Enhanced Attention Mechanisms: Some Transformers introduce new types of attention, such as multi-head attention, which allows the model to focus on different parts of the input sequence simultaneously.
2. Positional Encoding: To preserve the order of sequence data, positional encodings are added to the input embeddings.
3. Layer Normalization: This technique is used to stabilize the training of deep networks by normalizing the inputs to each layer.
4. Feedforward Networks: Each Transformer layer includes a feedforward neural network that processes the attention outputs.
5. Residual Connections: These connections help in training deeper networks by adding the output of a layer to its input before passing it to the next layer.

Applications:
- Natural Language Understanding (NLU): For tasks like sentiment analysis, question answering, and text classification.
- Machine Translation: To translate text from one language to another.
- Speech Recognition: Transcribing spoken language into written text.
- Time Series Analysis: For forecasting and pattern recognition in sequential data.
- Image Recognition: Some Transformers have been adapted for computer vision tasks.

Selection Criteria:
When choosing an Other Transformer model, consider the following:
1. Task Specificity: The model should be suitable for the specific task at hand, whether it's translation, summarization, or classification.
2. Data Size and Quality: Larger and more diverse datasets may require more complex models.
3. Computational Resources: More sophisticated models require more computational power and memory.
4. Training Time: Complex models may take longer to train.
5. Performance Metrics: Consider the model's performance on benchmarks relevant to your task.
6. Scalability: The model should be able to scale with the size of the data and the complexity of the task.

In summary, Other Transformers are a diverse family of models that build upon the foundational concepts of the original Transformer to address a wide range of challenges in machine learning and artificial intelligence. The choice of a specific model depends on the requirements of the task, the available data, and the computational resources.
Please refer to the product rule book for details.