nreimers commited on
Commit
8d61dd0
1 Parent(s): 0ce53cc
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ spm.model filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ # Cohere `rerank-multilingual-v2.0` tokenizer
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+
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+ This is the tokenizer for the [Cohere Rerank Model](https://txt.cohere.com/rerank/).
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+
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+ You can load it with the transformers library like this:
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+ ```python
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+ from transformers import AutoTokenizer
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+
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+ tokenizer = AutoTokenizer.from_pretrained("Cohere/rerank-multilingual-v2.0")
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+ text = "Hello World, this is my input string!"
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+ enc = tokenizer(text)
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+ print("Encoded input:")
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+ print(enc)
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+
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+ inv_vocab = {v: k for k, v in tokenizer.vocab.items()}
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+ tokens = [inv_vocab[token_id] for token_id in enc['input_ids']]
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+ print("Tokens:")
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+ print(tokens)
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+
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+ number_of_tokens = len(enc['input_ids'])
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+ print("Number of tokens:", number_of_tokens)
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+ ```
added_tokens.json ADDED
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+ {
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+ "[MASK]": 250101
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+ }
special_tokens_map.json ADDED
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+ {
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+ "bos_token": "[CLS]",
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+ "cls_token": "[CLS]",
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+ "eos_token": "[SEP]",
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+ "mask_token": "[MASK]",
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "unk_token": "[UNK]"
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+ }
spm.model ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:13c8d666d62a7bc4ac8f040aab68e942c861f93303156cc28f5c7e885d86d6e3
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+ size 4305025
tokenizer.json ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:6f06fc3bbcbbc8f07be861b9a6a69e177247bc549b2bcbf0483e4dd98c06b6f6
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+ size 16331301
tokenizer_config.json ADDED
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+ {
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+ "bos_token": "[CLS]",
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "[CLS]",
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+ "do_lower_case": false,
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+ "eos_token": "[SEP]",
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+ "mask_token": "[MASK]",
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+ "model_max_length": 512,
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "sp_model_kwargs": {},
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+ "split_by_punct": false,
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+ "tokenizer_class": "DebertaV2Tokenizer",
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+ "unk_token": "[UNK]",
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+ "vocab_type": "spm"
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+ }