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wjm55
Refactor tokenize endpoint to use Pydantic model for request validation and update README.md examples to reflect changes in API usage
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metadata
title: Tokenizer
emoji: π
colorFrom: green
colorTo: yellow
sdk: docker
pinned: false
Tokenizer API
A simple API for tokenizing text using spaCy.
Usage Examples
Using curl
curl -X POST "https://theirstory-tokenizer.hf.space/tokenize" \
-H "Content-Type: application/json" \
-H "accept: application/json" \
-d '{"text": "Hello world"}'
Using Python
import requests
response = requests.post(
"https://theirstory-tokenizer.hf.space/tokenize",
json={"text": "Hello world"},
headers={"accept": "application/json"}
)
tokens = response.json()
print(tokens)
Using JavaScript
const response = await fetch('https://theirstory-tokenizer.hf.space/tokenize', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'accept': 'application/json'
},
body: JSON.stringify({
text: 'Hello world'
})
});
const tokens = await response.json();
console.log(tokens);
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference