
## RoBERTa Basque small model (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses approximately half the size of RoBERTa 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

unmasker = pipeline('fill-mask', model='ClassCat/roberta-small-basque')
unmasker("Zein da zure <mask> ?")
```
{"language": "eu", "license": "cc-by-sa-4.0", "datasets": ["cc100", "oscar"], "widget": [{"text": "Euria egingo <mask> gaur ?"}, {"text": "<mask> umeari liburua eman dio."}, {"text": "Zein da zure <mask> ?"}]}
transformers pytorch roberta fill-mask eu dataset:cc100 dataset:oscar license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #eu #dataset-cc100 #dataset-oscar #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


## RoBERTa Basque small model (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses approximately half the size of RoBERTa 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


## RoBERTa Basque small model (Uncased) ### Prerequisites

transformers==4.19.2 ### Model architecture

This model uses approximately half the size of RoBERTa 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 #roberta #fill-mask #eu #dataset-cc100 #dataset-oscar #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## RoBERTa Basque small model (Uncased) ### Prerequisites

transformers==4.19.2 ### Model architecture

This model uses approximately half the size of RoBERTa 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 #roberta #fill-mask #eu #dataset-cc100 #dataset-oscar #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
## RoBERTa Basque small model (Uncased)### Prerequisites

transformers==4.19.2### Model architecture

This model uses approximately half the size of RoBERTa 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