This is a
sentence-transformers
model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer('{MODEL_NAME}')
embeddings = model.encode(sentences)
print(embeddings)
Evaluation Results
For an automated evaluation of this model, see the
Sentence Embeddings Benchmark
:
https://seb.sbert.net
More Information About mix_general huggingface.co Model
mix_general huggingface.co
mix_general huggingface.co is an AI model on huggingface.co that provides mix_general's model effect (), which can be used instantly with this YoungPanda mix_general model. huggingface.co supports a free trial of the mix_general model, and also provides paid use of the mix_general. Support call mix_general model through api, including Node.js, Python, http.
mix_general huggingface.co is an online trial and call api platform, which integrates mix_general's modeling effects, including api services, and provides a free online trial of mix_general, you can try mix_general online for free by clicking the link below.
YoungPanda mix_general online free url in huggingface.co:
mix_general is an open source model from GitHub that offers a free installation service, and any user can find mix_general on GitHub to install. At the same time, huggingface.co provides the effect of mix_general install, users can directly use mix_general installed effect in huggingface.co for debugging and trial. It also supports api for free installation.