
## GPT2 French base model (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses GPT2 base setttings except vocabulary size.

### Tokenizer

Using BPE tokenizer with vocabulary size 50,000.

### Training Data 

* [wiki40b/fr](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bfr) (French Wikipedia)
* Subset of [CC-100/fr](https://data.statmt.org/cc-100/) : Monolingual Datasets from Web Crawl Data

### Usage

```python
from transformers import pipeline

generator = pipeline('text-generation', model='ClassCat/gpt2-base-french')
generator("Je vais à la", max_length=50, num_return_sequences=5)
```
{"language": "fr", "license": "cc-by-sa-4.0", "datasets": ["wikipedia", "cc100"], "widget": [{"text": "Je vais \u00e0 la gare, et"}, {"text": "J'aime le caf\u00e9, donc"}, {"text": "Nous avons parl\u00e9"}, {"text": "Je m'appelle"}]}
transformers pytorch gpt2 text-generation fr dataset:wikipedia dataset:cc100 license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #fr #dataset-wikipedia #dataset-cc100 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


## GPT2 French base model (Uncased)

### Prerequisites

transformers==4.19.2

### Model architecture

This model uses GPT2 base setttings except vocabulary size.

### Tokenizer

Using BPE tokenizer with vocabulary size 50,000.

### Training Data 

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

### Usage


## GPT2 French base model (Uncased) ### Prerequisites

transformers==4.19.2 ### Model architecture

This model uses GPT2 base setttings except vocabulary size. ### Tokenizer

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

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

transformers==4.19.2 ### Model architecture

This model uses GPT2 base setttings except vocabulary size. ### Tokenizer

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

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

transformers==4.19.2### Model architecture

This model uses GPT2 base setttings except vocabulary size.### Tokenizer

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

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