Instructions to use gianma/classifierEUtopLevelLongerTrainBDWdInt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelLongerTrainBDWdInt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelLongerTrainBDWdInt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelLongerTrainBDWdInt") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelLongerTrainBDWdInt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef011b759ac85bf25e8da8653125ec6c494aceaaab8095b46f9d286aad74e4b1
- Size of remote file:
- 444 MB
- SHA256:
- 4cdeca44ea706da224f63dacf0393b88dea7e1e699c49326b1903d2abe76bfa5
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