Create README.md

README.md

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+---
+license: mit
+language:
+- en
+base_model:
+- jhu-clsp/ettin-decoder-68m
+pipeline_tag: text-generation
+library_name: transformers.js
+---
+
+### 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/@huggingface/transformers) using:
+```bash
+npm i @huggingface/transformers
+```
+
+You can then generate text as follows:
+```js
+import { pipeline, TextStreamer } from "@huggingface/transformers";
+
+// Create a text generation pipeline
+const generator = await pipeline(
+  "text-generation",
+  "onnx-community/ettin-decoder-68m-ONNX",
+  { dtype: "fp32" },
+);
+
+// Generate a response
+const text = "Q: What is the capital of France?\nA:";
+const output = await generator(text, {
+  max_new_tokens: 128,
+  streamer: new TextStreamer(generator.tokenizer, { skip_prompt: true, skip_special_tokens: true }),
+});
+console.log(output[0].generated_text);
+```