Text Classification
Transformers
Safetensors
English
distilbert
rhetorical-confidence
behavioral-stability
type-i-ghost-detection
ai-safety
text-embeddings-inference
Instructions to use chinilla/ProBERT-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chinilla/ProBERT-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chinilla/ProBERT-1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chinilla/ProBERT-1.0") model = AutoModelForSequenceClassification.from_pretrained("chinilla/ProBERT-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle