Instructions to use chenqian/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenqian/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chenqian/bert_cn_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chenqian/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("chenqian/bert_cn_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chenqian/bert_cn_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/chenqian/bert_cn_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://chenqian/bert_cn_finetuning/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/chenqian/bert_cn_finetuning/resolve/main/training_args.bin
1.21 kB
- Xet hash:
- 6dcbd3ca99da1fbf704fdb6f82511bbd88748ceb93b3228141d970fb1859ba3d
- Size of remote file:
- 1.21 kB
- SHA256:
- d042d37a4eeef1629ab3581b21ef56be90f6d94168d831ea7b752c3b5815b2d2
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