Instructions to use hagara/test-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hagara/test-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hagara/test-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hagara/test-bert") model = AutoModelForSequenceClassification.from_pretrained("hagara/test-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hagara/test-bert: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/hagara/test-bert/resolve/main/training_args.bin
- Command line
-
hf download hf://hagara/test-bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hagara/test-bert/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 6eb50e1410a508f04eb63ac633dbe50b5e304ec6bf1ebd3da2371ea1f8a7044f
- Size of remote file:
- 4.03 kB
- SHA256:
- 94dd57dfbbe7e544bf61d11c74c7d7176b46e3f424f7b5bf250b051b23110038
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