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请问你是怎么解决“def build_vocabulary(spacy_de, spacy_en):
def tokenize_de(text):
return tokenize(text, spacy_de)
def tokenize_en(text):
return tokenize(text, spacy_en)
pr…
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Input: plain text
Model: split text into chunk
Output: json
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The `tokenize_line` lexer function is long and becoming difficult to maintain/read. It should be broken up into multiple parts, perhaps as part of a refactor of the lexer as a whole.
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https://github.com/Unstructured-IO/unstructured/blob/01dbc7b4733e88efd6c1e85930c707009a2a966e/unstructured/nlp/tokenize.py#L101-L113
Should prob use the cache here instead of on tokenizers:
`@lru_…
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如标题所说, context_len参数同时控制了stream_generate_answer函数中token的len:
@torch.inference_mode()
def stream_generate_answer(
self,
max_new_tokens=512,
temperatur…
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a function specifically used to tokenize a given string. will be used for the getline tokenization and the path tokenization
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WordpieceTokenizer.tokenize
def tokenize(self, text):
"""Tokenizes a piece of text into its word pieces.
This uses a greedy longest-match-first algorithm to perform tokeni…
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When I try to use this notebook in its google colab implementation I am able to run it down to where you make the npy file. However, when I try to run that block I get the following error. Any thought…
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### What are you trying to do?
I would like to propose the addition of tokenize and detokenize endpoints to the Ollama server. This feature is crucial for the Ollama client interfaces (such as loll…
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with the text ab…