This model is an export of these
Word2Vec Vectors
for
staticvectors
.
staticvectors
enables running inference in Python with NumPy. This helps it maintain solid runtime performance.
Usage with StaticVectors
from staticvectors import StaticVectors
model = StaticVectors("neuml/word2vec")
model.embeddings(["word"])
Given that pre-trained embeddings models can get quite large, there is also a SQLite version that lazily loads vectors.
from staticvectors import StaticVectors
model = StaticVectors("neuml/word2vec/model.sqlite")
model.embeddings(["word"])
Runs of NeuML word2vec on huggingface.co
521
Total runs
0
24-hour runs
-8.6K
3-day runs
-52.6K
7-day runs
-99.9K
30-day runs
More Information About word2vec huggingface.co Model
word2vec huggingface.co is an AI model on huggingface.co that provides word2vec's model effect (), which can be used instantly with this NeuML word2vec model. huggingface.co supports a free trial of the word2vec model, and also provides paid use of the word2vec. Support call word2vec model through api, including Node.js, Python, http.
word2vec huggingface.co is an online trial and call api platform, which integrates word2vec's modeling effects, including api services, and provides a free online trial of word2vec, you can try word2vec online for free by clicking the link below.
word2vec is an open source model from GitHub that offers a free installation service, and any user can find word2vec on GitHub to install. At the same time, huggingface.co provides the effect of word2vec install, users can directly use word2vec installed effect in huggingface.co for debugging and trial. It also supports api for free installation.