How to use jfarray/Model_all-distilroberta-v1_30_Epochs with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jfarray/Model_all-distilroberta-v1_30_Epochs") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/jfarray/Model_all-distilroberta-v1_30_Epochs/resolve/refs%2Fpr%2F1/vocab.json
hf download hf://jfarray/Model_all-distilroberta-v1_30_Epochs@refs/pr/1/vocab.json
curl -L -o vocab.json https://huggingface.co/jfarray/Model_all-distilroberta-v1_30_Epochs/resolve/refs%2Fpr%2F1/vocab.json
