Instructions to use pedropei/aspect-level-certainty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedropei/aspect-level-certainty with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pedropei/aspect-level-certainty")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pedropei/aspect-level-certainty") model = AutoModelForSequenceClassification.from_pretrained("pedropei/aspect-level-certainty", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d2861cf13485f2bdb349770aabdc5d8643dc08ca09dbccc3cb04b11454dfcd0
- Size of remote file:
- 440 MB
- SHA256:
- d98ccccb90b948faa4ca4dc906f41872458c3231ac941adfb0058b69eff8a745
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