Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use bendico765/DuplicatiDistillBertFullTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bendico765/DuplicatiDistillBertFullTraining with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bendico765/DuplicatiDistillBertFullTraining")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bendico765/DuplicatiDistillBertFullTraining") model = AutoModelForSequenceClassification.from_pretrained("bendico765/DuplicatiDistillBertFullTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot