Automatically add EOS via Tokenizer, add Sentence Transformers snippet c67b216
Tom Aarsen commited on
How to use codefuse-ai/F2LLM-4B with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("codefuse-ai/F2LLM-4B")
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]How to use codefuse-ai/F2LLM-4B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("feature-extraction", model="codefuse-ai/F2LLM-4B") # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("codefuse-ai/F2LLM-4B")
model = AutoModel.from_pretrained("codefuse-ai/F2LLM-4B")