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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelLongerTrainAugmented") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelLongerTrainAugmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gianma/classifierEUtopLevelLongerTrainAugmented: direct link, hf CLI and curl.
- Browser
- Download file 445 MB
-
https://huggingface.co/gianma/classifierEUtopLevelLongerTrainAugmented/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gianma/classifierEUtopLevelLongerTrainAugmented/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gianma/classifierEUtopLevelLongerTrainAugmented/resolve/main/pytorch_model.bin
445 MB
- Xet hash:
- 1a823c94fa0004b783eface9cfcb9fb71e83c9011a0daca19cf56734a070676b
- Size of remote file:
- 445 MB
- SHA256:
- d7857f09aeefdacdf2771cf3e86199201a2f0adb812c05abb0b6a565abe72bd6
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