Zero-Shot Classification
Transformers
PyTorch
TensorFlow
Safetensors
English
distilbert
text-classification
Instructions to use typeform/distilbert-base-uncased-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use typeform/distilbert-base-uncased-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="typeform/distilbert-base-uncased-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("typeform/distilbert-base-uncased-mnli") model = AutoModelForSequenceClassification.from_pretrained("typeform/distilbert-base-uncased-mnli") - Inference
- Notebooks
- Google Colab
- Kaggle
VORTEXRAG: 7-Layer RAG — Causal Drift Filtering + Context Poison Guard [paper + code + demo]
#6 opened 25 days ago
by
vigneshwar234
Upload tokenizer.json
#5 opened over 2 years ago
by
preciz
model training process
#4 opened almost 3 years ago
by
sudhanshu753