Update README.md

README.md

@@ -4,4 +4,63 @@ library_name: transformers.js
 
 https://huggingface.co/susnato/phi-1_5_dev with ONNX weights to be compatible with Transformers.js.
 
+
+## Usage (Transformers.js)
+
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
+```bash
+npm i @xenova/transformers
+```
+
+**Example:** Text generation (code completion) with `Xenova/phi-1_5_dev`.
+
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create a text-generation pipeline
+const generator = await pipeline('text-generation', 'Xenova/phi-1_5_dev');
+
+// Construct prompt
+const prompt = `\`\`\`py
+import math
+def print_prime(n):
+    """
+    Print all primes between 1 and n
+    """`;
+
+// Generate text
+const result = await generator(prompt, {
+  max_new_tokens: 100,
+});
+console.log(result[0].generated_text);
+```
+
+Results in:
+```py
+import math
+def print_prime(n):
+    """
+    Print all primes between 1 and n
+    """
+    primes = []
+    for num in range(2, n+1):
+        is_prime = True
+        for i in range(2, int(math.sqrt(num))+1):
+            if num % i == 0:
+                is_prime = False
+                break
+        if is_prime:
+            primes.append(num)
+    print(primes)
+
+print_prime(20)
+```
+
+Running the code produces the correct result:
+```
+[2, 3, 5, 7, 11, 13, 17, 19]
+```
+---
+
+
 Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).