
### Description

A French word2vec model trained on [FrWac](https://wacky.sslmit.unibo.it/doku.php?id=corpora) by Fauconnier with the following hyperparameters:
lem: no, pos: no, phrase: no, train: skip, dim: 500, cutoff: 100


### How to use?

```
from gensim.models import KeyedVectors
from huggingface_hub import hf_hub_download
model = KeyedVectors.load_word2vec_format("Word2vec/fauconnier_frWiki_no_phrase_no_postag_1000_skip_cut200.bin", binary=True, unicode_errors="ignore")
model.most_similar("intéressant_a")
```

### Citation 
```
@misc{fauconnier_2015,
	author = {Fauconnier, Jean-Philippe},
	title = {French Word Embeddings},
	url = {http://fauconnier.github.io},
	year = {2015}}
```
{"language": "fr", "license": "cc-by-3.0", "tags": ["word2vec"]}
word2vec fr license:cc-by-3.0 region:us
TAGS
#word2vec #fr #license-cc-by-3.0 #region-us 


### Description

A French word2vec model trained on FrWac by Fauconnier with the following hyperparameters:
lem: no, pos: no, phrase: no, train: skip, dim: 500, cutoff: 100


### How to use?




### Description

A French word2vec model trained on FrWac by Fauconnier with the following hyperparameters:
lem: no, pos: no, phrase: no, train: skip, dim: 500, cutoff: 100 ### How to use?
TAGS
#word2vec #fr #license-cc-by-3.0 #region-us 
 ### Description

A French word2vec model trained on FrWac by Fauconnier with the following hyperparameters:
lem: no, pos: no, phrase: no, train: skip, dim: 500, cutoff: 100 ### How to use?