davidmezzetti
commited on
Commit
·
11abdd3
1
Parent(s):
caccd81
Update README
Browse files
README.md
CHANGED
@@ -20,7 +20,7 @@ _This model is a quantized version of the base model. It's using 10x256 Product
|
|
20 |
```python
|
21 |
from staticvectors import StaticVectors
|
22 |
|
23 |
-
model = StaticVectors("neuml/word2vec")
|
24 |
model.embeddings(["word"])
|
25 |
```
|
26 |
|
@@ -29,6 +29,6 @@ Given that pre-trained embeddings models can get quite large, there is also a SQ
|
|
29 |
```python
|
30 |
from staticvectors import StaticVectors
|
31 |
|
32 |
-
model = StaticVectors("neuml/word2vec/model.sqlite")
|
33 |
model.embeddings(["word"])
|
34 |
```
|
|
|
20 |
```python
|
21 |
from staticvectors import StaticVectors
|
22 |
|
23 |
+
model = StaticVectors("neuml/word2vec-quantized")
|
24 |
model.embeddings(["word"])
|
25 |
```
|
26 |
|
|
|
29 |
```python
|
30 |
from staticvectors import StaticVectors
|
31 |
|
32 |
+
model = StaticVectors("neuml/word2vec-quantized/model.sqlite")
|
33 |
model.embeddings(["word"])
|
34 |
```
|