Instructions to use kiritan/iteboshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiritan/iteboshi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kiritan/iteboshi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kiritan/iteboshi") model = AutoModelForSpeechSeq2Seq.from_pretrained("kiritan/iteboshi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10000, checkpoint
Browse files
last-checkpoint/model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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{
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"best_metric": 95.4926921263555,
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"best_model_checkpoint": "./iteboshi_temp/checkpoint-4000",
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-
"epoch":
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"eval_steps": 1000,
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_steps_per_second": 1.188,
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"eval_wer": 95.4926921263555,
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"step": 4000
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