Transformers.js improvements (#25)

- [WIP] Transformers.js improvements (b86e3eda672bc29427317d7d6753fbf808730d94)
- Update README.md (26cd37002254a59f114c509de0b80ef80aaf90d6)

README.md

@@ -40,7 +40,7 @@ For more details refer to: https://github.com/huggingface/smollm. You will find
 
 ### How to use
 
-### Transformers
+#### Transformers
 ```bash
 pip install transformers
 ```
@@ -62,13 +62,40 @@ print(tokenizer.decode(outputs[0]))
 ```
 
 
-### Chat in TRL
+#### Chat in TRL
 You can also use the TRL CLI to chat with the model from the terminal:
 ```bash
 pip install trl
 trl chat --model_name_or_path HuggingFaceTB/SmolLM2-1.7B-Instruct --device cpu
 ```
 
+#### Transformers.js
+
+```bash
+npm i @huggingface/transformers
+```
+
+```js
+import { pipeline } from "@huggingface/transformers";
+
+// Create a text generation pipeline
+const generator = await pipeline(
+  "text-generation",
+  "HuggingFaceTB/SmolLM2-1.7B-Instruct",
+);
+
+// Define the list of messages
+const messages = [
+  { role: "system", content: "You are a helpful assistant." },
+  { role: "user", content: "Tell me a joke." },
+];
+
+// Generate a response
+const output = await generator(messages, { max_new_tokens: 128 });
+console.log(output[0].generated_text.at(-1).content);
+// "Why don't scientists trust atoms?\n\nBecause they make up everything!"
+```
+
 ## Evaluation
 
 In this section, we report the evaluation results of SmolLM2. All evaluations are zero-shot unless stated otherwise, and we use [lighteval](https://github.com/huggingface/lighteval) to run them.

config.json

@@ -25,9 +25,14 @@
   "torch_dtype": "bfloat16",
   "transformers_version": "4.42.3",
   "transformers.js_config": {
+    "dtype": "q4",
     "kv_cache_dtype": {
       "q4f16": "float16",
       "fp16": "float16"
+    },
+    "use_external_data_format": {
+      "model.onnx": true,
+      "model_fp16.onnx": true
     }
   },
   "use_cache": true,