Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use tynk/SerialClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tynk/SerialClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tynk/SerialClassifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tynk/SerialClassifier") model = AutoModelForSequenceClassification.from_pretrained("tynk/SerialClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 8
Model tree for tynk/SerialClassifier
Base model
distilbert/distilbert-base-uncased