Instructions to use shiontendon/error_diagnostic_model_mPyT5_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shiontendon/error_diagnostic_model_mPyT5_label with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shiontendon/error_diagnostic_model_mPyT5_label") model = AutoModelForSeq2SeqLM.from_pretrained("shiontendon/error_diagnostic_model_mPyT5_label") - Notebooks
- Google Colab
- Kaggle
| {"log": "trained", "date": "2023-08-25T17:15:59", "elapsed": "00:04:12", "model": "Roy029/mpyt5_e20", "max_length": 128, "target_max_length": 128, "batch_size": 32, "gradient_accumulation_steps": 1, "train_steps": 2700, "accelerator": "gpu", "devices": "auto", "precision": 32, "strategy": "auto", "gradient_clip_val": 1.0, "compile": true, "solver": "adamw", "lr": 0.0003, "warmup_steps": 1, "training_steps": 100000, "adam_epsilon": 1e-08, "weight_decay": 0.0, "epoch": 11, "step": 990, "saved": "error_label_mPyT5"} | |