Instructions to use JayNightmare/PrERT-CNM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JayNightmare/PrERT-CNM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JayNightmare/PrERT-CNM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JayNightmare/PrERT-CNM") model = AutoModelForSequenceClassification.from_pretrained("JayNightmare/PrERT-CNM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "labels": [ | |
| "user", | |
| "system", | |
| "organization" | |
| ], | |
| "model_name": "bert-base-uncased", | |
| "random_state": 42, | |
| "num_train_epochs": 2.0, | |
| "batch_size": 8, | |
| "learning_rate": 5e-05, | |
| "max_length": 256 | |
| } | |