Instructions to use Aalaa/transfomer_preds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aalaa/transfomer_preds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aalaa/transfomer_preds")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aalaa/transfomer_preds") model = AutoModelForSequenceClassification.from_pretrained("Aalaa/transfomer_preds", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Aalaa/transfomer_preds: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/Aalaa/transfomer_preds/resolve/main/training_args.bin
- Command line
-
hf download hf://Aalaa/transfomer_preds/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Aalaa/transfomer_preds/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 8ed8eed956f123774b66e4df1eb27397a17ed11ec09ff4220f7a5887cd481adf
- Size of remote file:
- 3.52 kB
- SHA256:
- a9d5e67da8b77267068e4abded3be273da060747cee173aa661d2becf15bf3b7
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