Instructions to use SotirisLegkas/binary_hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SotirisLegkas/binary_hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SotirisLegkas/binary_hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/binary_hate") model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/binary_hate") - Notebooks
- Google Colab
- Kaggle
File size: 314 Bytes
c963c75 | 1 2 3 4 5 6 7 8 9 10 11 | {
"epoch": 10.0,
"eval_accuracy": 0.8966228000634215,
"eval_loss": 0.5619075894355774,
"eval_macro_f1": 0.8966137527188092,
"eval_micro_f1": 0.8966228000634215,
"eval_runtime": 51.7396,
"eval_samples": 12614,
"eval_samples_per_second": 243.798,
"eval_steps_per_second": 15.249
} |