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 Desktop
Download tokenizer.model from govnejri/Estimin3n: direct link, hf CLI and curl.
- Browser
- Download file 4.7 MB
-
https://huggingface.co/govnejri/Estimin3n/resolve/main/tokenizer.model
- Command line
-
hf download hf://govnejri/Estimin3n/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/govnejri/Estimin3n/resolve/main/tokenizer.model
4.7 MB
- Xet hash:
- 91480cfef423b04be801a5da51542180dee38280681cfa1fcd28a32de5094814
- Size of remote file:
- 4.7 MB
- SHA256:
- ea5f0cc48abfbfc04d14562270a32e02149a3e7035f368cc5a462786f4a59961
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