Instructions to use alifabdulR/nn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alifabdulR/nn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alifabdulR/nn")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("alifabdulR/nn") model = AutoModelForCTC.from_pretrained("alifabdulR/nn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from alifabdulR/nn: direct link, hf CLI and curl.
- Browser
- Download file 1.81 kB
-
https://huggingface.co/alifabdulR/nn/resolve/main/trainer_state.json
- Command line
-
hf download hf://alifabdulR/nn/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/alifabdulR/nn/resolve/main/trainer_state.json
1.81 kB
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| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 12.903225806451612, | |
| "global_step": 1600, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "epoch": 3.23, | |
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| "step": 400 | |
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| "eval_wer": 0.4119895580831624, | |
| "step": 400 | |
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| "loss": 0.1718, | |
| "step": 800 | |
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| "epoch": 6.45, | |
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| "total_flos": 6.469831852034365e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |