Instructions to use gianma/classifierEUtopLevelLongerTrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelLongerTrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelLongerTrain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelLongerTrain") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelLongerTrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00b5f9d49223ae3092f55fa3a16dc1b38256b4bd834619332a569a6c9b05b98a
- Size of remote file:
- 444 MB
- SHA256:
- 8feca4521ec668f3da7d35b4992c17a5fdc15ce8ef82e09d6e4bc702c2a6b395
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