from model2vec import StaticModel
# Load a pretrained Model2Vec model
model = StaticModel.from_pretrained("cnmoro/static-nomic-large")
# Compute text embeddings
embeddings = model.encode(["Example sentence"])
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More Information About static-nomic-large huggingface.co Model
static-nomic-large huggingface.co is an AI model on huggingface.co that provides static-nomic-large's model effect (), which can be used instantly with this cnmoro static-nomic-large model. huggingface.co supports a free trial of the static-nomic-large model, and also provides paid use of the static-nomic-large. Support call static-nomic-large model through api, including Node.js, Python, http.
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cnmoro static-nomic-large online free url in huggingface.co:
static-nomic-large is an open source model from GitHub that offers a free installation service, and any user can find static-nomic-large on GitHub to install. At the same time, huggingface.co provides the effect of static-nomic-large install, users can directly use static-nomic-large installed effect in huggingface.co for debugging and trial. It also supports api for free installation.