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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelLongerTrainBDWdInt") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelLongerTrainBDWdInt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gianma/classifierEUtopLevelLongerTrainBDWdInt: direct link, hf CLI and curl.
- Browser
- Download file 445 MB
-
https://huggingface.co/gianma/classifierEUtopLevelLongerTrainBDWdInt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gianma/classifierEUtopLevelLongerTrainBDWdInt/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gianma/classifierEUtopLevelLongerTrainBDWdInt/resolve/main/pytorch_model.bin
445 MB
- Xet hash:
- 0d97a2ed3db701fcd756902c5d1c8443b4879cb5c536ce2e0ddb6990723fd0e7
- Size of remote file:
- 445 MB
- SHA256:
- 8c7408e79c5f1238ed6180513ef7c18f11c5a8d4fb374c4a4335516f1fc332b1
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