
# Glove Twitter 

Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.

Read more:
* https://nlp.stanford.edu/projects/glove/
* https://nlp.stanford.edu/pubs/glove.pdf

## Example Usage

```python
import gensim.downloader as api
model = api.load("glove-twitter-25", from_hf=True)
model.most_similar(positive=['fruit', 'flower'], topn=1)

"""
Output:

[('cherry', 0.9183273911476135)]
"""
``` 
{"license": "pddl", "tags": ["glove", "gensim"]}
glove gensim license:pddl has_space region:us
TAGS
#glove #gensim #license-pddl #has_space #region-us 


# Glove Twitter 

Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.

Read more:
* URL
* URL

## Example Usage

 
# Glove Twitter 

Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.

Read more:
* URL
* URL ## Example Usage
TAGS
#glove #gensim #license-pddl #has_space #region-us 
 # Glove Twitter 

Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.

Read more:
* URL
* URL ## Example Usage
passage: TAGS
#glove #gensim #license-pddl #has_space #region-us 
# Glove Twitter 

Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.

Read more:
* URL
* URL## Example Usage