Instructions to use tk3879110/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tk3879110/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tk3879110/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tk3879110/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("tk3879110/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tk3879110/bert_finetuning_test: direct link, hf CLI and curl.
- Browser
- Download file 1.25 kB
-
https://huggingface.co/tk3879110/bert_finetuning_test/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://tk3879110/bert_finetuning_test@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tk3879110/bert_finetuning_test/resolve/refs%2Fpr%2F1/training_args.bin
1.25 kB
- Xet hash:
- 51bd26fb5c6ad59c95ec9aa0770798699bded947a3f4284f3941b16ede0cf689
- Size of remote file:
- 1.25 kB
- SHA256:
- 810d053e58cc555a1bca72e393ce504d512028d257ec9717c6cbc8d3931e5170
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