
## RoBERTa Catalan base model (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses RoBERTa base setttings except vocabulary size.

### Tokenizer

Using BPE tokenizer with vocabulary size 50,000.

### Training Data 

* [wiki40b/ca](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bca) (Catalan Wikipedia)
* Subset of [CC-100/ca](https://data.statmt.org/cc-100/) : Monolingual Datasets from Web Crawl Data

### Usage

```python
from transformers import pipeline

unmasker = pipeline('fill-mask', model='ClassCat/roberta-base-catalan')
unmasker("Jo <mask> japonès.")
```
{"language": "ca", "license": "cc-by-sa-4.0", "datasets": ["wikipedia", "cc100"], "widget": [{"text": "\u00c9s molt <mask> per a mi."}, {"text": "Vas jugar a <mask>."}, {"text": "Ell est\u00e0 una mica <mask>."}, {"text": "\u00c9s un bon <mask>."}, {"text": "M'agradaria menjar una <mask>."}]}
transformers pytorch roberta fill-mask ca dataset:wikipedia dataset:cc100 license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #ca #dataset-wikipedia #dataset-cc100 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


## RoBERTa Catalan base model (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses RoBERTa base setttings except vocabulary size.

### Tokenizer

Using BPE tokenizer with vocabulary size 50,000.

### Training Data 

* wiki40b/ca (Catalan Wikipedia)
* Subset of CC-100/ca : Monolingual Datasets from Web Crawl Data

### Usage


## RoBERTa Catalan base model (Uncased) ### Prerequisites

transformers==4.19.2 ### Model architecture

This model uses RoBERTa base setttings except vocabulary size. ### Tokenizer

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

* wiki40b/ca (Catalan Wikipedia)
* Subset of CC-100/ca : Monolingual Datasets from Web Crawl Data ### Usage
TAGS
#transformers #pytorch #roberta #fill-mask #ca #dataset-wikipedia #dataset-cc100 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## RoBERTa Catalan base model (Uncased) ### Prerequisites

transformers==4.19.2 ### Model architecture

This model uses RoBERTa base setttings except vocabulary size. ### Tokenizer

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

* wiki40b/ca (Catalan Wikipedia)
* Subset of CC-100/ca : Monolingual Datasets from Web Crawl Data ### Usage
passage: TAGS
#transformers #pytorch #roberta #fill-mask #ca #dataset-wikipedia #dataset-cc100 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
## RoBERTa Catalan base model (Uncased)### Prerequisites

transformers==4.19.2### Model architecture

This model uses RoBERTa base setttings except vocabulary size.### Tokenizer

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

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