Instructions to use Intel/bert-base-uncased-mnli-sparse-70-unstructured with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bert-base-uncased-mnli-sparse-70-unstructured with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/bert-base-uncased-mnli-sparse-70-unstructured")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-mnli-sparse-70-unstructured") model = AutoModelForSequenceClassification.from_pretrained("Intel/bert-base-uncased-mnli-sparse-70-unstructured") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot