Instructions to use Intel/bert-base-uncased-mnli-sparse-70-unstructured-no-classifier 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-no-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Intel/bert-base-uncased-mnli-sparse-70-unstructured-no-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-mnli-sparse-70-unstructured-no-classifier") model = AutoModelForMaskedLM.from_pretrained("Intel/bert-base-uncased-mnli-sparse-70-unstructured-no-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
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