Update README.md

README.md

@@ -1,6 +1,37 @@
----
-license: mit
-tags:
-- trl
-- sft
----
+---
+license: mit
+tags:
+- trl
+- sft
+- text-generation-inference
+language:
+- en
+- zh
+base_model:
+- HuggingFaceTB/SmolLM2-360M-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+---
+# **SmolR**
+
+### Transformers
+```bash
+pip install transformers
+```
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+checkpoint = "mohamedrasheqA/SmolR"
+
+device = "cuda" # for GPU usage or "cpu" for CPU usage
+tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+# for multiple GPUs install accelerate and do `model = AutoModelForCausalLM.from_pretrained(checkpoint, device_map="auto")`
+model = AutoModelForCausalLM.from_pretrained(checkpoint).to(device)
+
+messages = [{"role": "user", "content": "What is gravity?"}]
+input_text=tokenizer.apply_chat_template(messages, tokenize=False)
+print(input_text)
+inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)
+outputs = model.generate(inputs, max_new_tokens=50, temperature=0.2, top_p=0.9, do_sample=True)
+print(tokenizer.decode(outputs[0]))
+```