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
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (886162186a52a14ee5149569d37de85581052b0d) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>71d6de1 -
Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (1972e9d4ef4e66c231f55798e5f3abbc0c96d5fc) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>e5aca70
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Upload config
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update model card README.md
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