title: README
emoji: ❤️
colorFrom: red
colorTo: red
sdk: static
pinned: false
Bienvenid@ 🤗 al mayor Hackathon en la historia del NLP en español.
Únete al Discord de la comunidad Somos NLP donde se está organizando todo (link aquí) .
pip install -U sentence-transformers
The usage is as simple as:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
#Sentences we want to encode. Example:
sentence = ['This framework generates embeddings for each input sentence']
#Sentences are encoded by calling model.encode()
embedding = model.encode(sentence)
Hugging Face makes it easy to collaboratively build and showcase your Sentence Transformers models! You can collaborate with your organization, upload and showcase your own models in your profile ❤️
To upload your Sentence Transformers models to the Hugging Face Hub log in with huggingface-cli login and then use the save_to_hub
function within the Sentence Transformers library.
from sentence_transformers import save_to_hub
save_to_hub(repo_name = 'cool_new_model')