Instructions to use leslie/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leslie/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leslie/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leslie/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("leslie/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from leslie/bert_finetuning_test: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/leslie/bert_finetuning_test/resolve/main/training_args.bin
- Command line
-
hf download hf://leslie/bert_finetuning_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leslie/bert_finetuning_test/resolve/main/training_args.bin
1.21 kB
- Xet hash:
- f65e40e2af0fbf13bf4ca0919561b196adbcc433e75dd35beedcaed2d2b87ebd
- Size of remote file:
- 1.21 kB
- SHA256:
- e803bda76e830f934d8eec3d73cecbb1a02eb818e99a07717cc9a1f952f9ed2c
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