Text Classification
Transformers
Safetensors
English
roberta
fill-mask
question-answering
evaluation
text
Instructions to use zli12321/answer_equivalence_roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zli12321/answer_equivalence_roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zli12321/answer_equivalence_roberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zli12321/answer_equivalence_roberta-large") model = AutoModelForMaskedLM.from_pretrained("zli12321/answer_equivalence_roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Zongxia Li commited on
fine-grained fine-tuning
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