Instructions to use TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-75-F with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-75-F with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-75-F")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-75-F") model = AutoModelForSequenceClassification.from_pretrained("TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-75-F", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 10 months ago
by
SFconvertbot