Instructions to use TehranNLP-org/electra-base-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/electra-base-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/electra-base-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/electra-base-mnli") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/electra-base-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "train_loss": 0.28156463129009596, | |
| "train_runtime": 4491.1198, | |
| "train_samples": 392702, | |
| "train_samples_per_second": 262.319, | |
| "train_steps_per_second": 8.198 | |
| } |