Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ecopus/superhero-distilbert-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ecopus/superhero-distilbert-predictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ecopus/superhero-distilbert-predictor")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ecopus/superhero-distilbert-predictor") model = AutoModelForSequenceClassification.from_pretrained("ecopus/superhero-distilbert-predictor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c5b29707c55f22bb4481970840f663e6d70ed5bee8169bd9b49f8d9a19e1358
- Size of remote file:
- 5.84 kB
- SHA256:
- a7da5f5180301128e67f6e703ccf8368c7a800a6964f51e7f21660ee5fc399e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.