curl --request POST \
  --url https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "base_model": "<string>",
  "resource": "<string>",
  "script_type": "<string>",
  "is_public": false,
  "oxen_model_path": "<string>",
  "training_params": {
    "batch_size": 123,
    "caption_column": "<string>",
    "gradient_accumulation": 123,
    "image_column": "<string>",
    "learning_rate": 123,
    "lora_alpha": 123,
    "lora_rank": 123,
    "sample_every": 123,
    "samples": 123,
    "steps": 123,
    "timestep_type": "<string>",
    "use_lora": true
  }
}
'

import requests

url = "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes"

payload = {
    "base_model": "<string>",
    "resource": "<string>",
    "script_type": "<string>",
    "is_public": False,
    "oxen_model_path": "<string>",
    "training_params": {
        "batch_size": 123,
        "caption_column": "<string>",
        "gradient_accumulation": 123,
        "image_column": "<string>",
        "learning_rate": 123,
        "lora_alpha": 123,
        "lora_rank": 123,
        "sample_every": 123,
        "samples": 123,
        "steps": 123,
        "timestep_type": "<string>",
        "use_lora": True
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    base_model: '<string>',
    resource: '<string>',
    script_type: '<string>',
    is_public: false,
    oxen_model_path: '<string>',
    training_params: {
      batch_size: 123,
      caption_column: '<string>',
      gradient_accumulation: 123,
      image_column: '<string>',
      learning_rate: 123,
      lora_alpha: 123,
      lora_rank: 123,
      sample_every: 123,
      samples: 123,
      steps: 123,
      timestep_type: '<string>',
      use_lora: true
    }
  })
};

fetch('https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'base_model' => '<string>',
    'resource' => '<string>',
    'script_type' => '<string>',
    'is_public' => false,
    'oxen_model_path' => '<string>',
    'training_params' => [
        'batch_size' => 123,
        'caption_column' => '<string>',
        'gradient_accumulation' => 123,
        'image_column' => '<string>',
        'learning_rate' => 123,
        'lora_alpha' => 123,
        'lora_rank' => 123,
        'sample_every' => 123,
        'samples' => 123,
        'steps' => 123,
        'timestep_type' => '<string>',
        'use_lora' => true
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes"

	payload := strings.NewReader("{\n  \"base_model\": \"<string>\",\n  \"resource\": \"<string>\",\n  \"script_type\": \"<string>\",\n  \"is_public\": false,\n  \"oxen_model_path\": \"<string>\",\n  \"training_params\": {\n    \"batch_size\": 123,\n    \"caption_column\": \"<string>\",\n    \"gradient_accumulation\": 123,\n    \"image_column\": \"<string>\",\n    \"learning_rate\": 123,\n    \"lora_alpha\": 123,\n    \"lora_rank\": 123,\n    \"sample_every\": 123,\n    \"samples\": 123,\n    \"steps\": 123,\n    \"timestep_type\": \"<string>\",\n    \"use_lora\": true\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"base_model\": \"<string>\",\n  \"resource\": \"<string>\",\n  \"script_type\": \"<string>\",\n  \"is_public\": false,\n  \"oxen_model_path\": \"<string>\",\n  \"training_params\": {\n    \"batch_size\": 123,\n    \"caption_column\": \"<string>\",\n    \"gradient_accumulation\": 123,\n    \"image_column\": \"<string>\",\n    \"learning_rate\": 123,\n    \"lora_alpha\": 123,\n    \"lora_rank\": 123,\n    \"sample_every\": 123,\n    \"samples\": 123,\n    \"steps\": 123,\n    \"timestep_type\": \"<string>\",\n    \"use_lora\": true\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"base_model\": \"<string>\",\n  \"resource\": \"<string>\",\n  \"script_type\": \"<string>\",\n  \"is_public\": false,\n  \"oxen_model_path\": \"<string>\",\n  \"training_params\": {\n    \"batch_size\": 123,\n    \"caption_column\": \"<string>\",\n    \"gradient_accumulation\": 123,\n    \"image_column\": \"<string>\",\n    \"learning_rate\": 123,\n    \"lora_alpha\": 123,\n    \"lora_rank\": 123,\n    \"sample_every\": 123,\n    \"samples\": 123,\n    \"steps\": 123,\n    \"timestep_type\": \"<string>\",\n    \"use_lora\": true\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "fine_tune": {
    "base_model": "<string>",
    "created_at": "<string>",
    "id": "<string>",
    "name": "<string>",
    "status": "<string>",
    "updated_at": "<string>"
  },
  "status": "<string>",
  "status_message": "<string>"
}

{}