Instructions to use LucasS/robertaBaseABSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LucasS/robertaBaseABSA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="LucasS/robertaBaseABSA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("LucasS/robertaBaseABSA") model = AutoModelForQuestionAnswering.from_pretrained("LucasS/robertaBaseABSA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38274c193dfa30d0d5ecfc6441f31d1c022cd61e79fe106c3852882d1990c143
- Size of remote file:
- 496 MB
- SHA256:
- 3ac31a37b9bb66faa53eaecd518bbc7323e15110b2420e1913bed302f55c9a7f
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