Hugging Face API Tester

Build, run and copy Hugging Face Inference API requests as cURL, Python and JavaScript.

Request aur cURL, Python aur JavaScript code banana poori tarah aapke browser mein hota hai. Jab aap Run dabate hain, aapka Hugging Face token aur inputs seedhe aapke browser se Hugging Face Inference API ko bheje jaate hain — kabhi ArrayKit ko nahi. Aapka token sirf browser memory mein rakha jaata hai aur kabhi store ya ArrayKit ko nahi bheja jaata. Shared ya public machines par production tokens use karne se bachein.

API Request Client try karein

Hugging Face API Tester ke baare mein

Hugging Face API tester aapko browser chhode bina Hugging Face Inference API requests banane, run karne aur copy karne deta hai. mistralai/Mistral-7B-Instruct-v0.2 jaisa ek model id enter karein, apne inputs type karein, apna hf_ token paste karein, aur ArrayKit sahi Authorization: Bearer header aur JSON body ke saath https://api-inference.huggingface.co/models/{model} par POST assemble karta hai. Yeh turant ready-to-paste cURL, Python (requests) aur JavaScript (fetch) snippets generate karta hai, aur jahan Hugging Face cross-origin calls allow karta hai wahan aap live response dekhne ke liye Run dabaa sakte hain. Yeh un ML engineers, backend developers aur prompt tinkerers ke liye bana hai jo ek model smoke-test karna, token kaam karta hai confirm karna, ya ek app ke liye saaf code lena chahte hain. Request aur saara code locally aapke browser mein bante hain; jab aap Run karte hain, call seedhe aapke browser se Hugging Face ko jaati hai.

Features

Hugging Face API Tester kaise use karein

  1. mistralai/Mistral-7B-Instruct-v0.2 jaisa ek model id enter karein
  2. Inputs field mein apne inputs (jaise ek prompt) type karein
  3. Apna Hugging Face token (hf_…) token field mein paste karein
  4. Request bhejne ke liye Run dabayein, ya cURL, Python ya JavaScript code copy karein
  5. JSON response aur status padhein, phir model ya inputs tweak karein aur retry karein

Example

Input

curl -X POST 'https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2' \
  -H 'Authorization: Bearer hf_xxx' \
  -H 'Content-Type: application/json' \
  -d '{"inputs":"Write a haiku about TypeScript."}'

Output

[{"generated_text":"Types guard every line..."}]

Ek hf_ token aur JSON inputs ke saath ek minimal Hugging Face Inference API call.

Common errors aur troubleshooting

Aksar pooche jaane wale sawaal

Hugging Face API tester kya hai?
Yeh ek ArrayKit tool hai jo ek model id, inputs aur aapke hf_ token se Hugging Face Inference API requests banata hai, phir unhe run karne deta hai aur equivalent cURL, Python aur JavaScript code copy karta hai.
Kya mujhe Hugging Face token chahiye?
Haan. Inference API calls ek Authorization: Bearer hf_ token use karti hain. Ek huggingface.co/settings/tokens par banayein aur use token field mein paste karein.
cURL kaam karne par browser mein Run kyun fail hota hai?
Hugging Face Inference API aksar browser requests ke liye CORS headers nahi bhejta. Generated cURL ya Python snippet terminal ya server se theek chalta hai jahan CORS apply nahi hota.
Main kaunse models test kar sakta hoon?
Koi bhi model jo serverless Inference API expose karta hai. Tool Mistral-7B-Instruct, Meta-Llama-3-8B-Instruct aur gpt2 suggest karta hai, lekin aap owner/name jaisi koi bhi model id type kar sakte hain.
Kya mera token yahan use karna safe hai?
Request aur saara code locally aapke browser mein bante hain. Jab aap Run dabate hain, call seedhe aapke browser se Hugging Face ko jaati hai, ArrayKit ko nahi, aur aapka token sirf browser memory mein rakha jaata hai — kabhi store ya ArrayKit ko nahi bheja jaata. Shared machines par production tokens use karne se bachein.
Kya main apne app ke liye code generate kar sakta hoon?
Haan. Tool aapke banaye exact request ke liye ready-to-paste cURL, Python (requests) aur JavaScript (fetch) output karta hai, taaki aap use seedhe ek script ya backend mein daal sakein.

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