Instructions to use iarfmoose/bert-base-cased-qa-evaluator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iarfmoose/bert-base-cased-qa-evaluator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iarfmoose/bert-base-cased-qa-evaluator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iarfmoose/bert-base-cased-qa-evaluator") model = AutoModelForSequenceClassification.from_pretrained("iarfmoose/bert-base-cased-qa-evaluator", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/iarfmoose/bert-base-cased-qa-evaluator/README.md4eaab7f
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