Instructions to use Gantenbein/ADDI-DE-RoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gantenbein/ADDI-DE-RoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Gantenbein/ADDI-DE-RoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Gantenbein/ADDI-DE-RoBERTa") model = AutoModelForQuestionAnswering.from_pretrained("Gantenbein/ADDI-DE-RoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "global_step": 103, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "step": 103, | |
| "total_flos": 233805958972416.0, | |
| "train_runtime": 41.401, | |
| "train_samples_per_second": 2.488 | |
| } | |
| ], | |
| "max_steps": 103, | |
| "num_train_epochs": 1, | |
| "total_flos": 233805958972416.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |