初始化项目，由ModelHub XC社区提供模型

Model: ghananlpcommunity/kasawa
Source: Original Platform

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+license: cc-by-4.0
+datasets:
+- ghananlpcommunity/pristine-twi
+language:
+- tw
+- ak
+base_model:
+- HuggingFaceTB/SmolLM2-135M
+---
+# Kasawa — SmolLM2-135M Fine-tuned on Twi
+
+**kasawa** is a compact Twi language model capable of generating coherent twi text as casual language model. It should be noted that this model serves as a base model and it has not undergone intruction tuning.
+
+Built on [SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) and 
+trained on the [Pristine Twi Dataset](https://huggingface.co/datasets/ghananlpcommunity/pristine-twi) 
+— ~999k rows of clean, naturally sounding Twi text spanning four styles: 
+narrative, dialogue, monologue, and storytelling, grounded in real Ghanaian 
+news topics and named entities.
+
+Try it the yourself in the [demo](https://huggingface.co/spaces/ghananlpcommunity/kasawa).
+
+## Intended Use
+
+This model is released for **research and non-profit use only**. The primary goal 
+is to lower the barrier for experimentation in the Twi/Akan NLP space — 
+particularly as a base for instruction-tuned models targeting more advanced tasks 
+such as summarization, question answering, and dialogue in Twi. 
+
+It can also be very useful as a backbone for LLM-based **text-to-speech (TTS)** and **automatic 
+speech recognition (ASR)** systems, as well as **machine translation (MT)** models 
+involving Twi.
+
+## Quick Start
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+model = AutoModelForCausalLM.from_pretrained(
+    "ghananlpcommunity/kasawa",
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("ghananlpcommunity/kasawa")
+gen = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+prompt = "Ɔpɛnimaa bosome, 2025,"
+out = gen(prompt, max_new_tokens=200, do_sample=True, temperature=0.65, top_p=0.9)
+print(out[0]["generated_text"])
+```
+
+## Training Details
+
+| | |
+|---|---|
+| Base model | SmolLM2-135M |
+| Dataset | Pristine Twi (~999k rows, ~250M tokens) |
+| Epochs | ~2 |
+| Hardware | 1× 80GB GPU |
+
+## Citation & Community
+
+Created by **Mich-Seth Owusu** for the [Ghana NLP Community](https://huggingface.co/ghananlpcommunity).  
+If you build on this model, please credit the original work and consider sharing 
+your results back with the community.
+
+**License:** Research and non-profit use only.