Instructions to use Varshitha/MobileBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varshitha/MobileBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Varshitha/MobileBert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Varshitha/MobileBert") model = AutoModelForSequenceClassification.from_pretrained("Varshitha/MobileBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Varshitha/MobileBert: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Varshitha/MobileBert/resolve/main/training_args.bin
- Command line
-
hf download hf://Varshitha/MobileBert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Varshitha/MobileBert/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 22b6bca750151336e3da9903e3d31b52a095979b566470ce747c1d544321402d
- Size of remote file:
- 5.11 kB
- SHA256:
- c97c00ca1701257d55051f1e10483f71a906f02c85f42a18cdc1e79ec062f38c
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