from together import Together
import os

client = Together(
    api_key=os.environ.get("TOGETHER_API_KEY"),
)

response = client.models.upload(
    model_name="My-Fine-Tuned-Model",
    model_source="https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz",
)

print(response.data.job_id)

import Together from "together-ai";

const client = new Together({
  apiKey: process.env.TOGETHER_API_KEY,
});

const response = await client.models.upload({
  model_name: "My-Fine-Tuned-Model",
  model_source: "https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz",
})

console.log(response);

import Together from "together-ai";

const client = new Together({
  apiKey: process.env.TOGETHER_API_KEY,
});

const response = await client.models.upload({
  model_name: "My-Fine-Tuned-Model",
  model_source: "https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz",
})

console.log(response);

curl -X POST "https://api.together.ai/v1/models" \
     -H "Authorization: Bearer $TOGETHER_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
        "model_name": "My-Fine-Tuned-Model",
        "model_source": "https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz"
      }'

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.together.ai/v1/models",
  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([
    'model_name' => 'Qwen2.5-72B-Instruct',
    'model_source' => 'unsloth/Qwen2.5-72B-Instruct',
    'model_type' => 'model',
    'hf_token' => 'hf_examplehuggingfacetoken',
    'description' => 'Finetuned Qwen2.5-72B-Instruct by Unsloth',
    'base_model' => 'Qwen/Qwen2.5-72B-Instruct',
    'lora_model' => 'my_username/Qwen2.5-72B-Instruct-lora'
  ]),
  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://api.together.ai/v1/models"

	payload := strings.NewReader("{\n  \"model_name\": \"Qwen2.5-72B-Instruct\",\n  \"model_source\": \"unsloth/Qwen2.5-72B-Instruct\",\n  \"model_type\": \"model\",\n  \"hf_token\": \"hf_examplehuggingfacetoken\",\n  \"description\": \"Finetuned Qwen2.5-72B-Instruct by Unsloth\",\n  \"base_model\": \"Qwen/Qwen2.5-72B-Instruct\",\n  \"lora_model\": \"my_username/Qwen2.5-72B-Instruct-lora\"\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://api.together.ai/v1/models")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model_name\": \"Qwen2.5-72B-Instruct\",\n  \"model_source\": \"unsloth/Qwen2.5-72B-Instruct\",\n  \"model_type\": \"model\",\n  \"hf_token\": \"hf_examplehuggingfacetoken\",\n  \"description\": \"Finetuned Qwen2.5-72B-Instruct by Unsloth\",\n  \"base_model\": \"Qwen/Qwen2.5-72B-Instruct\",\n  \"lora_model\": \"my_username/Qwen2.5-72B-Instruct-lora\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.together.ai/v1/models")

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  \"model_name\": \"Qwen2.5-72B-Instruct\",\n  \"model_source\": \"unsloth/Qwen2.5-72B-Instruct\",\n  \"model_type\": \"model\",\n  \"hf_token\": \"hf_examplehuggingfacetoken\",\n  \"description\": \"Finetuned Qwen2.5-72B-Instruct by Unsloth\",\n  \"base_model\": \"Qwen/Qwen2.5-72B-Instruct\",\n  \"lora_model\": \"my_username/Qwen2.5-72B-Instruct-lora\"\n}"

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

{
  "data": {
    "job_id": "job-a15dad11-8d8e-4007-97c5-a211304de284",
    "model_name": "necolinehubner/Qwen2.5-72B-Instruct",
    "model_id": "model-c0e32dfc-637e-47b2-bf4e-e9b2e58c9da7",
    "model_source": "huggingface"
  },
  "message": "Processing model weights. Job created."
}