Instructions to use autotools/ai_video_studio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use autotools/ai_video_studio with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="autotools/ai_video_studio",
	filename="runtime/Auto Movie Reviewer/models/Phi-3.5-mini-balanced.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use autotools/ai_video_studio 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 autotools/ai_video_studio:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf autotools/ai_video_studio:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf autotools/ai_video_studio:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf autotools/ai_video_studio: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 autotools/ai_video_studio:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf autotools/ai_video_studio: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 autotools/ai_video_studio:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf autotools/ai_video_studio:Q4_K_M

Use Docker

docker model run hf.co/autotools/ai_video_studio:Q4_K_M

LM Studio
Jan
Ollama
How to use autotools/ai_video_studio with Ollama:
```
ollama run hf.co/autotools/ai_video_studio:Q4_K_M
```

Unsloth Studio

How to use autotools/ai_video_studio with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for autotools/ai_video_studio to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for autotools/ai_video_studio to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for autotools/ai_video_studio to start chatting

Atomic Chat new
Docker Model Runner
How to use autotools/ai_video_studio with Docker Model Runner:
```
docker model run hf.co/autotools/ai_video_studio:Q4_K_M
```

Lemonade

How to use autotools/ai_video_studio with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull autotools/ai_video_studio:Q4_K_M

Run and chat with the model

lemonade run user.ai_video_studio-Q4_K_M

List all available models

lemonade list

autotools commited on May 21

Commit

e3de42a

verified ·

1 Parent(s): e1e62aa

Add faster-whisper small runtime

Browse files

Files changed (7) hide show

runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/refs/main +1 -0
runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/.gitattributes +34 -0
runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/README.md +140 -0
runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/config.json +239 -0
runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/model.bin +3 -0
runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/tokenizer.json +0 -0
runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/vocabulary.txt +0 -0

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1	+ 536b0662742c02347bc0e980a01041f333bce120

runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/.gitattributes ADDED Viewed

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runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/README.md ADDED Viewed

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+---
+language:
+  - en
+  - zh
+  - de
+  - es
+  - ru
+  - ko
+  - fr
+  - ja
+  - pt
+  - tr
+  - pl
+  - ca
+  - nl
+  - ar
+  - sv
+  - it
+  - id
+  - hi
+  - fi
+  - vi
+  - he
+  - uk
+  - el
+  - ms
+  - cs
+  - ro
+  - da
+  - hu
+  - ta
+  - 'no'
+  - th
+  - ur
+  - hr
+  - bg
+  - lt
+  - la
+  - mi
+  - ml
+  - cy
+  - sk
+  - te
+  - fa
+  - lv
+  - bn
+  - sr
+  - az
+  - sl
+  - kn
+  - et
+  - mk
+  - br
+  - eu
+  - is
+  - hy
+  - ne
+  - mn
+  - bs
+  - kk
+  - sq
+  - sw
+  - gl
+  - mr
+  - pa
+  - si
+  - km
+  - sn
+  - yo
+  - so
+  - af
+  - oc
+  - ka
+  - be
+  - tg
+  - sd
+  - gu
+  - am
+  - yi
+  - lo
+  - uz
+  - fo
+  - ht
+  - ps
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+  - nn
+  - mt
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+  - lb
+  - my
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+  - tl
+  - mg
+  - as
+  - tt
+  - haw
+  - ln
+  - ha
+  - ba
+  - jw
+  - su
+tags:
+  - audio
+  - automatic-speech-recognition
+license: mit
+library_name: ctranslate2
+---
+# Whisper small model for CTranslate2
+This repository contains the conversion of [openai/whisper-small](https://huggingface.co/openai/whisper-small) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
+This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper).
+## Example
+```python
+from faster_whisper import WhisperModel
+model = WhisperModel("small")
+segments, info = model.transcribe("audio.mp3")
+for segment in segments:
+    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
+```
+## Conversion details
+The original model was converted with the following command:
+```
+ct2-transformers-converter --model openai/whisper-small --output_dir faster-whisper-small \
+    --copy_files tokenizer.json --quantization float16
+```
+Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the [`compute_type` option in CTranslate2](https://opennmt.net/CTranslate2/quantization.html).
+## More information
+**For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-small).**

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runtime/whisper-python/hf-home/models--Systran--faster-whisper-small/snapshots/536b0662742c02347bc0e980a01041f333bce120/tokenizer.json ADDED Viewed

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