Instructions to use 123tarunanand/roberta-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 123tarunanand/roberta-base-finetuned with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="123tarunanand/roberta-base-finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("123tarunanand/roberta-base-finetuned") model = AutoModelForQuestionAnswering.from_pretrained("123tarunanand/roberta-base-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the default config and test split of cuad
#3
by autoevaluator HF Staff - opened
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Your model has been evaluated on the default config and test split of the cuad dataset by @adrienheymans , using the predictions stored here.
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