This model is an export of these
GloVe-6B English Vectors
(
300d
) 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/glove-6B")
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/glove-6B/model.sqlite")
model.embeddings(["word"])
Runs of NeuML glove-6B on huggingface.co
2.0K
Total runs
0
24-hour runs
77
3-day runs
198
7-day runs
1.7K
30-day runs
More Information About glove-6B huggingface.co Model
glove-6B huggingface.co is an AI model on huggingface.co that provides glove-6B's model effect (), which can be used instantly with this NeuML glove-6B model. huggingface.co supports a free trial of the glove-6B model, and also provides paid use of the glove-6B. Support call glove-6B model through api, including Node.js, Python, http.
glove-6B huggingface.co is an online trial and call api platform, which integrates glove-6B's modeling effects, including api services, and provides a free online trial of glove-6B, you can try glove-6B online for free by clicking the link below.
glove-6B is an open source model from GitHub that offers a free installation service, and any user can find glove-6B on GitHub to install. At the same time, huggingface.co provides the effect of glove-6B install, users can directly use glove-6B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.