Instructions to use gianma/classifierEUtopLevelLongerTrainAugmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelLongerTrainAugmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelLongerTrainAugmented")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelLongerTrainAugmented") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelLongerTrainAugmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f785a28acc8d4ff80cb8299f031018042ed3514e64f3768b4b393f7ddcfa82c
- Size of remote file:
- 444 MB
- SHA256:
- d623c2ac6a4cd09b5759ef98000d94ac650cedeb575659b31cf2c7bab29d1b06
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