Instructions to use bvvyas/classification_bert-base-uncased_to_distilbert-base-uncased_fallback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bvvyas/classification_bert-base-uncased_to_distilbert-base-uncased_fallback with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bvvyas/classification_bert-base-uncased_to_distilbert-base-uncased_fallback")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bvvyas/classification_bert-base-uncased_to_distilbert-base-uncased_fallback") model = AutoModel.from_pretrained("bvvyas/classification_bert-base-uncased_to_distilbert-base-uncased_fallback", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!