Instructions to use langmatthias/exercise06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use langmatthias/exercise06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="langmatthias/exercise06")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("langmatthias/exercise06") model = AutoModelForQuestionAnswering.from_pretrained("langmatthias/exercise06") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "train_loss": 2.0058399489209733, | |
| "train_runtime": 1470.1679, | |
| "train_samples": 87504, | |
| "train_samples_per_second": 119.039, | |
| "train_steps_per_second": 9.92 | |
| } |