Text Generation
PEFT
Safetensors
lora
rl
grpo
openenv
voice
indic
hindi
tamil
kannada
hinglish
schema-drift
gemma-3n
tool-use
conversational
Instructions to use DGXAI/gemma-3n-e2b-driftcall-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DGXAI/gemma-3n-e2b-driftcall-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3n-E2B-it") model = PeftModel.from_pretrained(base_model, "DGXAI/gemma-3n-e2b-driftcall-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "audio_seq_length": 188, | |
| "feature_extractor": { | |
| "crop_size": null, | |
| "data_format": "channels_first", | |
| "default_to_square": false, | |
| "device": null, | |
| "disable_grouping": null, | |
| "dither": 0.0, | |
| "do_center_crop": null, | |
| "do_convert_rgb": null, | |
| "do_normalize": false, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "Gemma3nAudioFeatureExtractor", | |
| "feature_size": 128, | |
| "fft_length": 1024, | |
| "fft_overdrive": true, | |
| "frame_length": 512, | |
| "hop_length": 160, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "SiglipImageProcessorFast", | |
| "image_seq_length": 256, | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "input_data_format": null, | |
| "input_scale_factor": 1.0, | |
| "max_frequency": 7600.0, | |
| "mel_floor": 1e-05, | |
| "min_frequency": 125.0, | |
| "padding_side": "left", | |
| "padding_value": 0.0, | |
| "per_bin_mean": null, | |
| "per_bin_stddev": null, | |
| "preemphasis": 0.97, | |
| "preemphasis_htk_flavor": true, | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_attention_mask": true, | |
| "return_tensors": null, | |
| "sampling_rate": 16000, | |
| "size": { | |
| "height": 768, | |
| "width": 768 | |
| } | |
| }, | |
| "image_processor": { | |
| "data_format": "channels_first", | |
| "default_to_square": false, | |
| "dither": 0.0, | |
| "do_convert_rgb": null, | |
| "do_normalize": false, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "feature_size": 128, | |
| "fft_length": 1024, | |
| "fft_overdrive": true, | |
| "frame_length": 512, | |
| "hop_length": 160, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "SiglipImageProcessor", | |
| "image_seq_length": 256, | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "input_scale_factor": 1.0, | |
| "max_frequency": 7600.0, | |
| "mel_floor": 1e-05, | |
| "min_frequency": 125.0, | |
| "padding_side": "left", | |
| "padding_value": 0.0, | |
| "preemphasis": 0.97, | |
| "preemphasis_htk_flavor": true, | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "size": { | |
| "height": 768, | |
| "width": 768 | |
| } | |
| }, | |
| "image_seq_length": 256, | |
| "processor_class": "Gemma3nProcessor" | |
| } | |