A manually pruned version of
distilbert-portuguese-cased
, finetuned to produce high quality embeddings in a lightweight form factor.
Model Trained Using AutoTrain
Problem type: Sentence Transformers
Validation Metrics
loss: 0.3181200921535492
cosine_accuracy: 0.8921948650328134
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the Hugging Face Hub
model = SentenceTransformer("cnmoro/micro-bertim-embeddings")
# Run inference
sentences = [
'O pôr do sol pinta o céu com tons de laranja e vermelho',
'Joana adora estudar matemática nas tardes de sábado',
'Os pássaros voam em formação, criando um espetáculo no horizonte',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
Runs of cnmoro micro-bertim-embeddings on huggingface.co
79
Total runs
1
24-hour runs
5
3-day runs
-10
7-day runs
-30
30-day runs
More Information About micro-bertim-embeddings huggingface.co Model
micro-bertim-embeddings huggingface.co is an AI model on huggingface.co that provides micro-bertim-embeddings's model effect (), which can be used instantly with this cnmoro micro-bertim-embeddings model. huggingface.co supports a free trial of the micro-bertim-embeddings model, and also provides paid use of the micro-bertim-embeddings. Support call micro-bertim-embeddings model through api, including Node.js, Python, http.
micro-bertim-embeddings huggingface.co is an online trial and call api platform, which integrates micro-bertim-embeddings's modeling effects, including api services, and provides a free online trial of micro-bertim-embeddings, you can try micro-bertim-embeddings online for free by clicking the link below.
cnmoro micro-bertim-embeddings online free url in huggingface.co:
micro-bertim-embeddings is an open source model from GitHub that offers a free installation service, and any user can find micro-bertim-embeddings on GitHub to install. At the same time, huggingface.co provides the effect of micro-bertim-embeddings install, users can directly use micro-bertim-embeddings installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
micro-bertim-embeddings install url in huggingface.co: