
## RoBERTa Spanish 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/es](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bes) (Spanish Wikipedia)
* Subset of [CC-100/es](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-spanish')
unmasker("Yo soy <mask>.")
```
{"language": "es", "license": "cc-by-sa-4.0", "datasets": ["wikipedia", "cc100"], "widget": [{"text": "Yo vivo en <mask>."}, {"text": "Quiero <mask> contigo ?"}, {"text": "Es clima es <mask>."}, {"text": "Me llamo <mask>."}, {"text": "Las negociaciones est\u00e1n <mask>."}]}
transformers pytorch roberta fill-mask es dataset:wikipedia dataset:cc100 license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #es #dataset-wikipedia #dataset-cc100 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


## RoBERTa Spanish 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/es (Spanish Wikipedia)
* Subset of CC-100/es : Monolingual Datasets from Web Crawl Data

### Usage


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