Instructions to use chenqian/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenqian/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chenqian/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chenqian/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("chenqian/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chenqian/bert_finetuning_test: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/chenqian/bert_finetuning_test/resolve/main/training_args.bin
- Command line
-
hf download hf://chenqian/bert_finetuning_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chenqian/bert_finetuning_test/resolve/main/training_args.bin
1.22 kB
- Xet hash:
- a29929fff7f072ee6235fe37799d3148f682af9290eacc0c5e87c1b80a32ca95
- Size of remote file:
- 1.22 kB
- SHA256:
- 237d1511b3c4ebf2406bca508c5e7f32f10da75314aad55981a3a62e81821951
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