
## Greek GPT2 small model Version 2 (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses approximately half the size of GPT2 base model parameters.

### Tokenizer

Using BPE tokenizer with vocabulary size 50,000.

### Training Data 

* Subset of [CC-100/el](https://data.statmt.org/cc-100/) : Monolingual Datasets from Web Crawl Data
* Subset of [oscar](https://huggingface.co/datasets/oscar)
* [wiki40b/el](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bel) (Greek Wikipedia)

### Usage

```python
from transformers import pipeline
generator = pipeline('text-generation', model='ClassCat/gpt2-small-greek-v2')
generator("Αυτό είναι ένα", max_length=50, num_return_sequences=5)
```

{"language": "el", "license": "cc-by-sa-4.0", "datasets": ["cc100", "oscar", "wikipedia"], "widget": [{"text": "\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1"}, {"text": "\u0391\u03bd\u03bf\u03b9\u03be\u03b1 \u03c4\u03b7\u03bd"}, {"text": "\u0395\u03c5\u03c7\u03b1\u03c1\u03b9\u03c3\u03c4\u03ce \u03b3\u03b9\u03b1 \u03c4\u03bf"}, {"text": "\u0388\u03c7\u03b5\u03b9 \u03c0\u03bf\u03bb\u03cd \u03ba\u03b1\u03b9\u03c1\u03cc \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03ad\u03c7\u03bf\u03c5\u03bc\u03b5"}]}
transformers pytorch gpt2 text-generation el dataset:cc100 dataset:oscar dataset:wikipedia license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #el #dataset-cc100 #dataset-oscar #dataset-wikipedia #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


## Greek GPT2 small model Version 2 (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses approximately half the size of GPT2 base model parameters.

### Tokenizer

Using BPE tokenizer with vocabulary size 50,000.

### Training Data 

* Subset of CC-100/el : Monolingual Datasets from Web Crawl Data
* Subset of oscar
* wiki40b/el (Greek Wikipedia)

### Usage



## Greek GPT2 small model Version 2 (Uncased) ### Prerequisites

transformers==4.19.2 ### Model architecture

This model uses approximately half the size of GPT2 base model parameters. ### Tokenizer

Using BPE tokenizer with vocabulary size 50,000. ### Training Data 

* Subset of CC-100/el : Monolingual Datasets from Web Crawl Data
* Subset of oscar
* wiki40b/el (Greek Wikipedia) ### Usage
TAGS
#transformers #pytorch #gpt2 #text-generation #el #dataset-cc100 #dataset-oscar #dataset-wikipedia #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ## Greek GPT2 small model Version 2 (Uncased) ### Prerequisites

transformers==4.19.2 ### Model architecture

This model uses approximately half the size of GPT2 base model parameters. ### Tokenizer

Using BPE tokenizer with vocabulary size 50,000. ### Training Data 

* Subset of CC-100/el : Monolingual Datasets from Web Crawl Data
* Subset of oscar
* wiki40b/el (Greek Wikipedia) ### Usage
passage: TAGS
#transformers #pytorch #gpt2 #text-generation #el #dataset-cc100 #dataset-oscar #dataset-wikipedia #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
## Greek GPT2 small model Version 2 (Uncased)### Prerequisites

transformers==4.19.2### Model architecture

This model uses approximately half the size of GPT2 base model parameters.### Tokenizer

Using BPE tokenizer with vocabulary size 50,000.### Training Data 

* Subset of CC-100/el : Monolingual Datasets from Web Crawl Data
* Subset of oscar
* wiki40b/el (Greek Wikipedia)### Usage