Instructions to use A-Funakoshi/bert-wrime-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A-Funakoshi/bert-wrime-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="A-Funakoshi/bert-wrime-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("A-Funakoshi/bert-wrime-base") model = AutoModelForSequenceClassification.from_pretrained("A-Funakoshi/bert-wrime-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from A-Funakoshi/bert-wrime-base: direct link, hf CLI and curl.
- Browser
- Download file 4.02 kB
-
https://huggingface.co/A-Funakoshi/bert-wrime-base/resolve/main/training_args.bin
- Command line
-
hf download hf://A-Funakoshi/bert-wrime-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/A-Funakoshi/bert-wrime-base/resolve/main/training_args.bin
4.02 kB
- Xet hash:
- cd7b902d3fccd95880aac08afa67239482997a4fa78ac0535e56749b6c1bfb8b
- Size of remote file:
- 4.02 kB
- SHA256:
- 9015a0155086e38ddabd69ddde783cf2e6da0f931df8984a6996b23e63cf1a0a
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