Text Classification
Transformers
PyTorch
English
deberta-v2
zero-shot-classification
natural-language-inference
vaccine
news-classification
computational-social-science
text-embeddings-inference
Instructions to use LuizNeves/BERT-NLI-vaccine-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LuizNeves/BERT-NLI-vaccine-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LuizNeves/BERT-NLI-vaccine-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LuizNeves/BERT-NLI-vaccine-v2") model = AutoModelForSequenceClassification.from_pretrained("LuizNeves/BERT-NLI-vaccine-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 8 days ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot