Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use janjibDEV/BERT-rating-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use janjibDEV/BERT-rating-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="janjibDEV/BERT-rating-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("janjibDEV/BERT-rating-classifier") model = AutoModelForSequenceClassification.from_pretrained("janjibDEV/BERT-rating-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
cd49686 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:756deed1a9bacf171cd872234a211eba7cc5dc44f7f48a2e64940d29c9deb695
size 5176
|