Instructions to use Cheng98/opt-125m-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheng98/opt-125m-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cheng98/opt-125m-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cheng98/opt-125m-mnli") model = AutoModelForSequenceClassification.from_pretrained("Cheng98/opt-125m-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "train_loss": 0.2862651685536918, | |
| "train_runtime": 5523.0542, | |
| "train_samples": 392702, | |
| "train_samples_per_second": 355.512, | |
| "train_steps_per_second": 22.22 | |
| } |