Instructions to use karths/binary_classification_train_TD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_TD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_TD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_TD") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_TD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 205 Bytes
e3b0c4a | 1 2 3 4 5 6 7 8 | {
"precision": 0.05148569643269319,
"recall": 0.04953426663021465,
"f1": 0.050496182152111053,
"auc": 0.018417047018577187,
"acc": 0.041705442482717556,
"mcc": 0.08602040921261711
} |