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Specialty Transformers

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CMT69C0N
Coileasy
and CMP6510V/ CMP6510S/CMP6510C , 5V Input, 2W ,
Quantity: 200
In Stock
24+
5+ $0.3835
30+ $0.3482
50+ $0.3356
100+ $0.3154
- +
x $0.3835
Ext. Price: $1.91
MOQ: 5
Mult: 1
SPQ: 1000
0500P1-2-050K
talema
230V(AC) 2*50(AC) 500VA 60mm(height)
Quantity: 8
Ship Date: 7-13 working days
1+ $223.4625
10+ $202.1629
25+ $198.2296
50+ $194.1505
100+ $189.9056
- +
x $223.4625
Ext. Price: $223.46
MOQ: 1
Mult: 1
SFB0320-230-24
talema
230V(AC) ±24(AC) 320VA base mount 117mm*105mm*63mm
Quantity: 15
Ship Date: 7-13 working days
1+ $155.9203
25+ $138.8649
- +
x $155.9203
Ext. Price: $155.92
MOQ: 1
Mult: 1
6719022
RS
230V(AC) 2*55(AC) 160VA 46mm(height)
Quantity: 1
Ship Date: 7-13 working days
1+ $54.315
- +
x $54.315
Ext. Price: $54.31
MOQ: 1
Mult: 1
504549
RS
230V(AC) 9V(AC) 6VA Through hole mounting 43mm*36mm*33mm
Quantity: 190
Ship Date: 7-13 working days
1+ $42.718
- +
x $42.718
Ext. Price: $42.71
MOQ: 1
Mult: 1
1730211
RS
230V(AC) 2*18(AC) 120VA 48mm(height)
Quantity: 20
Ship Date: 7-13 working days
12+ $43.1047
24+ $42.027
48+ $41.3807
- +
x $43.1047
Ext. Price: $517.25
MOQ: 12
Mult: 12
6718965
RS
230V(AC) 2*15(AC) 50VA wire mounting 33mm(height)
Quantity: 7
Ship Date: 7-13 working days
1+ $37.7232
6+ $28.3348
30+ $21.8626
- +
x $37.7232
Ext. Price: $37.72
MOQ: 1
Mult: 1
98202010
Sollatek
Sollatek Stabilizer, Input230V AC, output230V, output_power460VA
Quantity: 3
Ship Date: 7-13 working days
1+ $167.2323
5+ $152.8583
15+ $149.0365
30+ $145.3111
- +
x $167.2323
Ext. Price: $167.23
MOQ: 1
Mult: 1
6719066
RS
115V(AC),230V(AC) 2*6(AC) 30VA wire mounting 32mm(height)
Quantity: 16
Ship Date: 7-13 working days
1+ $38.2142
8+ $28.8957
- +
x $38.2142
Ext. Price: $38.21
MOQ: 1
Mult: 1
504707
RS
230V(AC) 12V(AC) 6VA Through hole mounting 43mm*36mm*33mm
Quantity: 43
Ship Date: 7-13 working days
1+ $40.7169
10+ $30.3339
25+ $27.5535
50+ $26.9706
- +
x $40.7169
Ext. Price: $40.71
MOQ: 1
Mult: 1
1176062
RS
2*115(AC) 2*24(AC) 300VA SMD mount
Quantity: 109
Ship Date: 7-13 working days
1+ $139.5193
10+ $126.2235
50+ $103.8832
- +
x $139.5193
Ext. Price: $139.51
MOQ: 1
Mult: 1
504559
RS
230V(AC) 12V(AC) 6VA Through hole mounting 43mm*36mm*33mm
Quantity: 39
Ship Date: 7-13 working days
1+ $37.6897
10+ $28.0766
25+ $25.507
50+ $24.9596
250+ $20.5422
- +
x $37.6897
Ext. Price: $37.68
MOQ: 1
Mult: 1
1730119
RS
2*115(AC) 2*7 5VA Through hole mounting 49.7mm*49.7mm*19.5mm
Quantity: 30
Ship Date: 7-13 working days
30+ $17.9719
60+ $17.5226
120+ $17.253
- +
x $17.9719
Ext. Price: $539.15
MOQ: 30
Mult: 30
1213850
RS
115V~230V(AC) 2*12(AC) 18VA PCBinstall 68mm*57mm*27mm
Quantity: 46
Ship Date: 7-13 working days
1+ $47.6476
10+ $34.0319
50+ $26.2584
- +
x $47.6476
Ext. Price: $47.64
MOQ: 1
Mult: 1
1234033
RS
230V(AC) 2*35(AC) 500VA SMD mount 65mm(height)
Quantity: 6
Ship Date: 7-13 working days
1+ $145.8802
- +
x $145.8802
Ext. Price: $145.88
MOQ: 1
Mult: 1
1249720
RS
230V(AC) 110V 5 kVA Intermittent 5 Mins on 15 Mins off base mount,Freestanding mounting 260mm*675mm*620mm
Quantity: 1
Ship Date: 7-13 working days
1+ $1840.5496
5+ $1656.4947
25+ $730.9903
- +
x $1840.5496
Ext. Price: $1840.54
MOQ: 1
Mult: 1
0030P1-2-015
talema
230V(AC) 2*15(AC) 30VA wire mounting 32mm(height)
Quantity: 47
Ship Date: 7-13 working days
1+ $50.8385
- +
x $50.8385
Ext. Price: $50.83
MOQ: 1
Mult: 1
0225P1-2-012K
talema
230V(AC) 2*12(AC) 225VA 52mm(height)
Quantity: 2
Ship Date: 7-13 working days
1+ $113.681
10+ $103.963
25+ $101.4451
50+ $99.3923
100+ $97.2558
- +
x $113.681
Ext. Price: $113.68
MOQ: 1
Mult: 1
A187A18C
Oxford Electrical Products
OEP Audio Transformers, primary impedance 200Ω, min_operating_frequency 10Hz, turns_ratio 1:5
Quantity: 9
Ship Date: 7-13 working days
1+ $68.4209
10+ $61.2972
- +
x $68.4209
Ext. Price: $68.42
MOQ: 1
Mult: 1
1243862
RS
2*115(AC) 2*9 10VA Through hole mounting 55mm*55mm*26mm
Quantity: 32
Ship Date: 7-13 working days
1+ $27.2654
5+ $20.4789
10+ $20.0396
- +
x $27.2654
Ext. Price: $27.26
MOQ: 1
Mult: 1
58-0300-024-D
talema
230V(AC) 24V(AC) 300VA DINRail installation 69mm(height)
Quantity: 5
Ship Date: 7-13 working days
1+ $156.6988
25+ $141.7655
- +
x $156.6988
Ext. Price: $156.69
MOQ: 1
Mult: 1
1233997
RS
230V(AC) 2*55(AC) 500VA SMD mount 60mm(height)
Quantity: 8
Ship Date: 7-13 working days
1+ $150.865
5+ $87.273
- +
x $150.865
Ext. Price: $150.86
MOQ: 1
Mult: 1
1213852
RS
115V~230V(AC) 2*12(AC) 24VA PCBinstall 68mm*57mm*31mm
Quantity: 94
Ship Date: 7-13 working days
1+ $29.0606
- +
x $29.0606
Ext. Price: $29.06
MOQ: 1
Mult: 1
1730088
RS
115V(AC),230V(AC) 2*6(AC) 50VA wire mounting 33mm(height)
Quantity: 68
Ship Date: 7-13 working days
24+ $28.9464
48+ $28.2226
96+ $27.7886
- +
x $28.9464
Ext. Price: $694.71
MOQ: 24
Mult: 24
504420
RS
230V(AC) 6V(AC) 6VA Through hole mounting 43mm*36mm*33mm
Quantity: 14
Ship Date: 7-13 working days
1+ $39.5219
10+ $29.4431
25+ $26.7501
50+ $26.185
100+ $25.6135
- +
x $39.5219
Ext. Price: $39.52
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.