Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use JCuddleCoder/autotrain-1ytkr-r30qh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JCuddleCoder/autotrain-1ytkr-r30qh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JCuddleCoder/autotrain-1ytkr-r30qh")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JCuddleCoder/autotrain-1ytkr-r30qh") model = AutoModelForSequenceClassification.from_pretrained("JCuddleCoder/autotrain-1ytkr-r30qh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 7
Model tree for JCuddleCoder/autotrain-1ytkr-r30qh
Base model
google-bert/bert-base-uncased