Introduce config files for simple & warning-free Sentence Transformers integration 326e580
Tom Aarsen commited on
How to use reasonir/ReasonIR-8B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("feature-extraction", model="reasonir/ReasonIR-8B", trust_remote_code=True) # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("reasonir/ReasonIR-8B", trust_remote_code=True)
model = AutoModel.from_pretrained("reasonir/ReasonIR-8B", trust_remote_code=True)How to use reasonir/ReasonIR-8B with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("reasonir/ReasonIR-8B", trust_remote_code=True)
sentences = [
"The weather is lovely today.",
"It's so sunny outside!",
"He drove to the stadium."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]