sentence-transformers

/

all-mpnet-base-v1

like 10

Follow

Sentence Transformers 810

Hi, the repository README mentions:

By default, input text longer than 128 word pieces is truncated.

However, the parameter max_seq_length from sentence_transformers returns 512.

from sentence_transformers import SentenceTransformer
model_st = SentenceTransformer('all-mpnet-base-v1')
model_st.max_seq_length
# 512

Same value is returned for the Hugging face transformer approach:

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-mpnet-base-v1')
tokenizer.model_max_length
# 512

Shouldn't the README be updated from 128 to 512 ?

Output of pip freeze:

...
sentence-transformers==2.2.2
huggingface-hub==0.10.1
transformers==4.23.1
torch==1.12.1
...