This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:
from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim
model = SentenceTransformer(
'fine-tuned/test',
trust_remote_code=True
)
embeddings = model.encode([
'first text to embed',
'second text to embed'
])
print(cos_sim(embeddings[0], embeddings[1]))
test huggingface.co is an AI model on huggingface.co that provides test's model effect (), which can be used instantly with this fine-tuned test model. huggingface.co supports a free trial of the test model, and also provides paid use of the test. Support call test model through api, including Node.js, Python, http.
test huggingface.co is an online trial and call api platform, which integrates test's modeling effects, including api services, and provides a free online trial of test, you can try test online for free by clicking the link below.
fine-tuned test online free url in huggingface.co:
test is an open source model from GitHub that offers a free installation service, and any user can find test on GitHub to install. At the same time, huggingface.co provides the effect of test install, users can directly use test installed effect in huggingface.co for debugging and trial. It also supports api for free installation.