Instructions to use AfterRain007/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfterRain007/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AfterRain007/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AfterRain007/results") model = AutoModelForSequenceClassification.from_pretrained("AfterRain007/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58f685234ea64361d4519668528dd1087ee586597c01bb1be2bd4f0f286226b5
- Size of remote file:
- 4.54 kB
- SHA256:
- 4b2a260ff67d8f2963077a1016f76ce32d4aaa23d7d788ac51376f8ed11072b9
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