初始化项目，由ModelHub XC社区提供模型

Model: sbintuitions/tiny-lm
Source: Original Platform

README.md

@@ -0,0 +1,35 @@
+---
+license: mit
+datasets:
+- wikipedia
+language:
+- ja
+- en
+---
+
+# tiny-lm
+
+This repository provides a tiny 16M parameters language model for debugging and testing purposes.
+
+Trained on English and Japanese Wikipedia data.
+
+## How to use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+ 
+model = AutoModelForCausalLM.from_pretrained("sbintuitions/tiny-lm", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("sbintuitions/tiny-lm", use_fast=False)
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+print(generator("Hello", max_length=30, do_sample=True, top_k=100))
+```
+
+## Model architecture
+A 4-layer, 512-hidden-size transformer-based language model.
+
+## Training
+The model was trained on English Wikipedia and Japanese Wikipedia to optimize a traditional language modelling objective for 25B tokens.
+
+## License
+[MIT License](https://huggingface.co/sbintuitions/tiny-lm/resolve/main/LICENSE)
+