Update README.md
Browse files
README.md
CHANGED
|
@@ -42,6 +42,16 @@ The validation score above is not an LLM benchmark score.
|
|
| 42 |
## ⚠️ Benchmarking Test Results
|
| 43 |
<p align="center"> <img src="BenchmarkResult.png" alt="Darwin-Qwen3-4B BenchMark Result" width="600"/> </p>
|
| 44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
|
| 46 |
# Strengths & Features
|
| 47 |
## Cross-Domain Intelligence
|
|
|
|
| 42 |
## ⚠️ Benchmarking Test Results
|
| 43 |
<p align="center"> <img src="BenchmarkResult.png" alt="Darwin-Qwen3-4B BenchMark Result" width="600"/> </p>
|
| 44 |
|
| 45 |
+
'''
|
| 46 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 47 |
+
|
| 48 |
+
model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
|
| 49 |
+
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")
|
| 50 |
+
|
| 51 |
+
# 추론 예시
|
| 52 |
+
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
|
| 53 |
+
outputs = model.generate(**inputs)
|
| 54 |
+
'''
|
| 55 |
|
| 56 |
# Strengths & Features
|
| 57 |
## Cross-Domain Intelligence
|