Instructions to use Gerwin/bert-for-pac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gerwin/bert-for-pac with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gerwin/bert-for-pac")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gerwin/bert-for-pac") model = AutoModelForSequenceClassification.from_pretrained("Gerwin/bert-for-pac", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Gerwin/bert-for-pac: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/Gerwin/bert-for-pac/resolve/main/training_args.bin
- Command line
-
hf download hf://Gerwin/bert-for-pac/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Gerwin/bert-for-pac/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- d00040c36b99b2c91501cf81a932a83355bcef11340b77b36a084f78cfbfb9ae
- Size of remote file:
- 2.61 kB
- SHA256:
- 5655da6889e31677a080d04b1a68bd9555ab78d0aa81016c0d6f9aba0c75dda8
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