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This model is an export of the new
GloVe 2024 WikiGiga 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-2024-wikigiga")
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-2024-wikigiga/model.sqlite")
model.embeddings(["word"])
Runs of NeuML glove-2024-wikigiga on huggingface.co
27
Total runs
0
24-hour runs
2
3-day runs
-1
7-day runs
10
30-day runs
More Information About glove-2024-wikigiga huggingface.co Model
glove-2024-wikigiga huggingface.co is an AI model on huggingface.co that provides glove-2024-wikigiga's model effect (), which can be used instantly with this NeuML glove-2024-wikigiga model. huggingface.co supports a free trial of the glove-2024-wikigiga model, and also provides paid use of the glove-2024-wikigiga. Support call glove-2024-wikigiga model through api, including Node.js, Python, http.
glove-2024-wikigiga huggingface.co is an online trial and call api platform, which integrates glove-2024-wikigiga's modeling effects, including api services, and provides a free online trial of glove-2024-wikigiga, you can try glove-2024-wikigiga online for free by clicking the link below.
NeuML glove-2024-wikigiga online free url in huggingface.co:
glove-2024-wikigiga is an open source model from GitHub that offers a free installation service, and any user can find glove-2024-wikigiga on GitHub to install. At the same time, huggingface.co provides the effect of glove-2024-wikigiga install, users can directly use glove-2024-wikigiga installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
glove-2024-wikigiga install url in huggingface.co: