Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dafqi/DistilBERT-Hoax-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafqi/DistilBERT-Hoax-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dafqi/DistilBERT-Hoax-Detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dafqi/DistilBERT-Hoax-Detection") model = AutoModelForSequenceClassification.from_pretrained("dafqi/DistilBERT-Hoax-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 651
Browse files
pytorch_model.bin
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runs/Sep02_06-03-08_1caa0be82f11/events.out.tfevents.1693634600.1caa0be82f11.29.0
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