
## GPT2 Basque 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/eu](https://data.statmt.org/cc-100/) : Monolingual Datasets from Web Crawl Data
* Subset of [oscar](https://huggingface.co/datasets/oscar)

### Usage

```python
from transformers import pipeline

generator = pipeline('text-generation', model='ClassCat/gpt2-small-basque-v2')
generator("Zein da zure ", max_length=50, num_return_sequences=5)
```
{"language": "eu", "license": "cc-by-sa-4.0", "datasets": ["cc100", "oscar"], "widget": [{"text": "Zein da zure"}, {"text": "Euria egingo"}, {"text": "Nola dakizu ?"}]}
transformers pytorch gpt2 text-generation eu dataset:cc100 dataset:oscar license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #eu #dataset-cc100 #dataset-oscar #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


## GPT2 Basque 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/eu : Monolingual Datasets from Web Crawl Data
* Subset of oscar

### Usage


## GPT2 Basque 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/eu : Monolingual Datasets from Web Crawl Data
* Subset of oscar ### Usage
TAGS
#transformers #pytorch #gpt2 #text-generation #eu #dataset-cc100 #dataset-oscar #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ## GPT2 Basque 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/eu : Monolingual Datasets from Web Crawl Data
* Subset of oscar ### Usage
passage: TAGS
#transformers #pytorch #gpt2 #text-generation #eu #dataset-cc100 #dataset-oscar #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
## GPT2 Basque 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/eu : Monolingual Datasets from Web Crawl Data
* Subset of oscar### Usage