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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelLongerTrain") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelLongerTrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gianma/classifierEUtopLevelLongerTrain: direct link, hf CLI and curl.
- Browser
- Download file 445 MB
-
https://huggingface.co/gianma/classifierEUtopLevelLongerTrain/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gianma/classifierEUtopLevelLongerTrain/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gianma/classifierEUtopLevelLongerTrain/resolve/main/pytorch_model.bin
445 MB
- Xet hash:
- 7f391e72c8a3ac568d1dbd0666d85efcab8f9f1624a1bf9ba217e010244ae03b
- Size of remote file:
- 445 MB
- SHA256:
- 8779a61494c40be4fadb4aa1fc297ae2081ec2452308a6be347bbae1ea5b4543
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