Argon-Embed1 یک مدل امبدینگ چندزبانه است که با استفاده از تکنیک
Contrastive Learning
و
InfoNCE Loss
آموزش دیده است.
📥 نحوه استفاده
با SentenceTransformers
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Mohammedkarimi/Argon-Embed1")
embeddings = model.encode(["سلام دنیا", "Hello World"])
🏗️ معماری
Base Model
: bert-base-multilingual-cased
Embedding Dimension
: 256
Max Sequence Length
: 128 tokens
📄 لایسنس
Apache 2.0
👥 سازنده
ساخته شده توسط Mohammedkarimi
Runs of Mohammedkarimi Argon-Embed1 on huggingface.co
73
Total runs
1
24-hour runs
2
3-day runs
22
7-day runs
73
30-day runs
More Information About Argon-Embed1 huggingface.co Model
Argon-Embed1 huggingface.co
Argon-Embed1 huggingface.co is an AI model on huggingface.co that provides Argon-Embed1's model effect (), which can be used instantly with this Mohammedkarimi Argon-Embed1 model. huggingface.co supports a free trial of the Argon-Embed1 model, and also provides paid use of the Argon-Embed1. Support call Argon-Embed1 model through api, including Node.js, Python, http.
Argon-Embed1 huggingface.co is an online trial and call api platform, which integrates Argon-Embed1's modeling effects, including api services, and provides a free online trial of Argon-Embed1, you can try Argon-Embed1 online for free by clicking the link below.
Mohammedkarimi Argon-Embed1 online free url in huggingface.co:
Argon-Embed1 is an open source model from GitHub that offers a free installation service, and any user can find Argon-Embed1 on GitHub to install. At the same time, huggingface.co provides the effect of Argon-Embed1 install, users can directly use Argon-Embed1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.