Instructions to use joelniklaus/bert-base-uncased-sem_eval_2010_task_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelniklaus/bert-base-uncased-sem_eval_2010_task_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joelniklaus/bert-base-uncased-sem_eval_2010_task_8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joelniklaus/bert-base-uncased-sem_eval_2010_task_8") model = AutoModelForSequenceClassification.from_pretrained("joelniklaus/bert-base-uncased-sem_eval_2010_task_8") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot