Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Mou11209203/distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mou11209203/distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mou11209203/distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mou11209203/distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5") model = AutoModelForSequenceClassification.from_pretrained("Mou11209203/distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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