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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
c963c75 | 1 2 3 4 5 6 7 8 | {
"epoch": 10.0,
"train_loss": 0.148325269014939,
"train_runtime": 6107.1251,
"train_samples": 58863,
"train_samples_per_second": 96.384,
"train_steps_per_second": 3.013
} |