Instructions to use karths/binary_classification_train_people with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_people with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_people")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_people") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_people", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
8d69f6c | 1 2 3 4 5 6 7 8 | {
"precision": 0.07197331667516964,
"recall": 0.0666050621067186,
"f1": 0.06817096427680233,
"auc": 0.04360365684746068,
"acc": 0.06502484304167432,
"mcc": 0.13003549089038427
} |