Instructions to use Wangtwohappy/T4_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Wangtwohappy/T4_code with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Wangtwohappy/T4_code:Q4_K_M # Run inference directly in the terminal: llama cli -hf Wangtwohappy/T4_code:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Wangtwohappy/T4_code:Q4_K_M # Run inference directly in the terminal: llama cli -hf Wangtwohappy/T4_code:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Wangtwohappy/T4_code:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Wangtwohappy/T4_code:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Wangtwohappy/T4_code:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Wangtwohappy/T4_code:Q4_K_M
Use Docker
docker model run hf.co/Wangtwohappy/T4_code:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Wangtwohappy/T4_code with Ollama:
ollama run hf.co/Wangtwohappy/T4_code:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Wangtwohappy/T4_code with Docker Model Runner:
docker model run hf.co/Wangtwohappy/T4_code:Q4_K_M
- Lemonade
How to use Wangtwohappy/T4_code with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Wangtwohappy/T4_code:Q4_K_M
Run and chat with the model
lemonade run user.T4_code-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 2,944 Bytes
f8ba0eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | import cv2
import os
def rotate_video(input_path, output_path, rotation_angle=90):
"""
旋转视频文件
:param input_path: 输入视频路径
:param output_path: 输出视频路径
:param rotation_angle: 旋转角度 (90, 180, 270)
:return: 是否成功
"""
try:
# 打开视频文件
cap = cv2.VideoCapture(input_path)
if not cap.isOpened():
print(f"无法打开视频文件: {input_path}")
return False
# 获取视频属性
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = cap.get(cv2.CAP_PROP_FPS)
total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
print(f"视频信息: {width}x{height}, FPS: {fps}, 总帧数: {total_frames}")
# 根据旋转角度调整输出视频的宽高
if rotation_angle == 90 or rotation_angle == 270:
output_width = height
output_height = width
else:
output_width = width
output_height = height
# 创建视频写入器
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_path, fourcc, fps, (output_width, output_height))
frame_count = 0
while True:
ret, frame = cap.read()
if not ret:
break
# 旋转帧
if rotation_angle == 90:
rotated = cv2.rotate(frame, cv2.ROTATE_90_CLOCKWISE)
elif rotation_angle == 180:
rotated = cv2.rotate(frame, cv2.ROTATE_180)
elif rotation_angle == 270:
rotated = cv2.rotate(frame, cv2.ROTATE_90_COUNTERCLOCKWISE)
else:
print("不支持的旋转角度,请使用90, 180, 或270")
return False
# 写入旋转后的帧
out.write(rotated)
frame_count += 1
if frame_count % 100 == 0:
print(".1f")
# 释放资源
cap.release()
out.release()
print(f"视频旋转完成! 已处理 {frame_count} 帧")
print(f"输出文件: {output_path}")
return True
except Exception as e:
print(f"处理视频时出错: {str(e)}")
return False
if __name__ == "__main__":
# 设置输入输出路径
input_video = "videos/sample1_raw.mp4"
output_video = "videos/sample1_rotated_270.mp4"
# 检查输入文件是否存在
if not os.path.exists(input_video):
print(f"输入视频文件不存在: {input_video}")
print("请确保视频文件在videos目录下")
else:
# 旋转视频 (默认90度顺时针)
print("开始旋转视频...")
success = rotate_video(input_video, output_video, 270)
if success:
print("视频旋转成功!")
else:
print("视频旋转失败!")
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