# Introduction

This model translate between Yoda-ish to English and vice versa. It makes use of the [T5-base](https://huggingface.co/t5-base) model and finetuning.
Basically it trains for 2 tasks using the same dataset. In Yoda-ish to English, trains

# Dataset
For this first version of the model I used a small sample of 20 Yoda quotes for training. I am in the midst of collecting more samples for training.

# Usage
**Input**

For Yoda-ish to English, you can use the prefix "y_to_e: text" to pass in as the input.

For English to Yodaish you can use the prefix "e_to_y: text"

**Output**
The translated sentence.

 E.g
 
 e_to_y: I am sick of you => Sick of you, I am 

# Spaces
To try this model you can access it [here](https://huggingface.co/spaces/stephenleejm/yoda_translator)
{}
transformers pytorch t5 text2text-generation autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

# Introduction

This model translate between Yoda-ish to English and vice versa. It makes use of the T5-base model and finetuning.
Basically it trains for 2 tasks using the same dataset. In Yoda-ish to English, trains

# Dataset
For this first version of the model I used a small sample of 20 Yoda quotes for training. I am in the midst of collecting more samples for training.

# Usage
Input

For Yoda-ish to English, you can use the prefix "y_to_e: text" to pass in as the input.

For English to Yodaish you can use the prefix "e_to_y: text"

Output
The translated sentence.

 E.g
 
 e_to_y: I am sick of you => Sick of you, I am 

# Spaces
To try this model you can access it here
# Introduction

This model translate between Yoda-ish to English and vice versa. It makes use of the T5-base model and finetuning.
Basically it trains for 2 tasks using the same dataset. In Yoda-ish to English, trains # Dataset
For this first version of the model I used a small sample of 20 Yoda quotes for training. I am in the midst of collecting more samples for training. # Usage
Input

For Yoda-ish to English, you can use the prefix "y_to_e: text" to pass in as the input.

For English to Yodaish you can use the prefix "e_to_y: text"

Output
The translated sentence.

 E.g
 
 e_to_y: I am sick of you => Sick of you, I am # Spaces
To try this model you can access it here
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # Introduction

This model translate between Yoda-ish to English and vice versa. It makes use of the T5-base model and finetuning.
Basically it trains for 2 tasks using the same dataset. In Yoda-ish to English, trains # Dataset
For this first version of the model I used a small sample of 20 Yoda quotes for training. I am in the midst of collecting more samples for training. # Usage
Input

For Yoda-ish to English, you can use the prefix "y_to_e: text" to pass in as the input.

For English to Yodaish you can use the prefix "e_to_y: text"

Output
The translated sentence.

 E.g
 
 e_to_y: I am sick of you => Sick of you, I am # Spaces
To try this model you can access it here
passage: TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
# Introduction

This model translate between Yoda-ish to English and vice versa. It makes use of the T5-base model and finetuning.
Basically it trains for 2 tasks using the same dataset. In Yoda-ish to English, trains# Dataset
For this first version of the model I used a small sample of 20 Yoda quotes for training. I am in the midst of collecting more samples for training.# Usage
Input

For Yoda-ish to English, you can use the prefix "y_to_e: text" to pass in as the input.

For English to Yodaish you can use the prefix "e_to_y: text"

Output
The translated sentence.

 E.g
 
 e_to_y: I am sick of you => Sick of you, I am# Spaces
To try this model you can access it here