Comments (1)
In case it may be helpful, I have also used the Nutlope twitter bio template, and you can check out how I implemented the tokenizer at https://github.com/llegomark/betterreadings.
To implement the tokenizer, I used the following code:
const tokenizer = new gpt3Tokenizer({ type: 'gpt3' });
const tokens = tokenizer.encode(prompt);
const numTokens = tokens.bpe.length;
const MAX_PROMPT_TOKENS = 400;
if (numTokens > MAX_PROMPT_TOKENS) {
return new Response(`The prompt has ${numTokens} tokens, which exceeds the maximum limit of ${MAX_PROMPT_TOKENS} tokens.`, {
status: 400,
statusText: "Bad Request",
});
}
I hope this information is helpful to you. Let me know if you have any further questions. Thank you!
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Related Issues (9)
- Issues importing the package HOT 4
- Issues module constructor HOT 2
- Cannot create an instance of an abstract class (Typescript) HOT 1
- GPT3Tokenizer is not a constructor HOT 2
- Unsafe use of `this.cache.hasOwnProperty` HOT 3
- [Issue] Calculate Tokens size? HOT 6
- Calling tokenizer.encode('toString') errors due to bpe function HOT 2
- Fix types HOT 1
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