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This model is a 38.2% smaller version of
BAAI/bge-m3
for the Dutch language, created using the
mtem-pruner
space.
This pruned model should perform similarly to the original model for Dutch language tasks with a much smaller
memory footprint. However, it may not perform well for other languages present in the original multilingual model as tokens not
commonly used in Dutch were removed from the original multilingual model's vocabulary.
Usage
You can use this model with the Transformers library:
from transformers import AutoModel, AutoTokenizer
model_name = "denniscraandijk/dutch-bge-m3"
model = AutoModel.from_pretrained(model_name, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True, use_fast=True)
Or with the sentence-transformers library:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("denniscraandijk/dutch-bge-m3")
dutch-bge-m3 huggingface.co is an AI model on huggingface.co that provides dutch-bge-m3's model effect (), which can be used instantly with this denniscraandijk dutch-bge-m3 model. huggingface.co supports a free trial of the dutch-bge-m3 model, and also provides paid use of the dutch-bge-m3. Support call dutch-bge-m3 model through api, including Node.js, Python, http.
dutch-bge-m3 huggingface.co is an online trial and call api platform, which integrates dutch-bge-m3's modeling effects, including api services, and provides a free online trial of dutch-bge-m3, you can try dutch-bge-m3 online for free by clicking the link below.
denniscraandijk dutch-bge-m3 online free url in huggingface.co:
dutch-bge-m3 is an open source model from GitHub that offers a free installation service, and any user can find dutch-bge-m3 on GitHub to install. At the same time, huggingface.co provides the effect of dutch-bge-m3 install, users can directly use dutch-bge-m3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.