Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use WealthFromAI/empire-content-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WealthFromAI/empire-content-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WealthFromAI/empire-content-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WealthFromAI/empire-content-distilbert") model = AutoModelForSequenceClassification.from_pretrained("WealthFromAI/empire-content-distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f5c93a5864f28c4745958486614f10ab21b6811502c0870f9a170a75cbdbfee
- Size of remote file:
- 5.39 kB
- SHA256:
- 39e9ed499e62ba31bd07e43b9297734f8e3c5ad2061f891a7cf512253676a186
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.