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
Download .gitattributes from iarfmoose/bert-base-cased-qa-evaluator: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/iarfmoose/bert-base-cased-qa-evaluator/resolve/main/.gitattributes
- Command line
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hf download hf://iarfmoose/bert-base-cased-qa-evaluator/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/iarfmoose/bert-base-cased-qa-evaluator/resolve/main/.gitattributes
391 Bytes
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