Audio-Text-to-Text
Transformers
Safetensors
Kazakh
Russian
English
gemma3n
image-text-to-text
text-generation
automatic-speech-recognition
multimodal
gemma-3n
asr
kazakh
trl
lora
unsloth
Eval Results (legacy)
Instructions to use govnejri/Estimin3n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use govnejri/Estimin3n with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("govnejri/Estimin3n") model = AutoModelForMultimodalLM.from_pretrained("govnejri/Estimin3n", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use govnejri/Estimin3n 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 govnejri/Estimin3n 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 govnejri/Estimin3n to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for govnejri/Estimin3n to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="govnejri/Estimin3n", max_seq_length=2048, )
- Xet hash:
- 91480cfef423b04be801a5da51542180dee38280681cfa1fcd28a32de5094814
- Size of remote file:
- 4.7 MB
- SHA256:
- ea5f0cc48abfbfc04d14562270a32e02149a3e7035f368cc5a462786f4a59961
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