Zero-Shot Classification
Transformers
ONNX
Safetensors
deberta-v2
text-classification
mnli
nlp
tfs
thinking-fast-and-slow
router-model
brahmai
reasoning
Instructions to use brahmairesearch/TFS-ZS-MNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brahmairesearch/TFS-ZS-MNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="brahmairesearch/TFS-ZS-MNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("brahmairesearch/TFS-ZS-MNLI") model = AutoModelForSequenceClassification.from_pretrained("brahmairesearch/TFS-ZS-MNLI") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!