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rerank-multilingual-v2.0
CohereLabs/rerank-multilingual-v2.0
rerank-multilingual-v2.0 is a machine learning model from CohereLabs. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is the tokenizer for the Cohere Rerank Model.
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Public
Updated Mar 25, 2026
Repo size
20.6 MB
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21
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.json16.3 MB · 79%
At a glance
- Access
- Public
- Created
- Oct 5, 2023
- Updated
- Mar 25, 2026
- SHA
- d60a8c48
Model card
From the Hugging Face model README
Cohere rerank-multilingual-v2.0 tokenizer
This is the tokenizer for the Cohere Rerank Model.
You can load it with the transformers library like this:
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("CohereLabs/rerank-multilingual-v2.0")
text = "Hello World, this is my input string!"
enc = tokenizer(text)
print("Encoded input:")
print(enc)
inv_vocab = {v: k for k, v in tokenizer.vocab.items()}
tokens = [inv_vocab[token_id] for token_id in enc['input_ids']]
print("Tokens:")
print(tokens)
number_of_tokens = len(enc['input_ids'])
print("Number of tokens:", number_of_tokens)
- Created
- Oct 5, 2023
- Updated
- Mar 25, 2026