Instructions to use dusersad12/FineTunedBest-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/FineTunedBest-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/FineTunedBest-TestRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusersad12/FineTunedBest-TestRepo") model = AutoModelForSequenceClassification.from_pretrained("dusersad12/FineTunedBest-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 170 Bytes
8ef5ecf | 1 2 3 4 5 6 7 8 | {
"model_type": "roberta",
"architectures": ["RobertaForSequenceClassification"],
"learning_rate": 5e-05,
"num_train_epochs": 5,
"batch_size": 8,
"seed": 21
} |