Instructions to use leslie/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leslie/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leslie/bert_cn_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leslie/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("leslie/bert_cn_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from leslie/bert_cn_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/leslie/bert_cn_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://leslie/bert_cn_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leslie/bert_cn_finetuning/resolve/main/training_args.bin
1.21 kB
- Xet hash:
- 58903362e3aba54b6ca2d5141547cf75b60fa0456fbf6bf000d7557cc49e9b75
- Size of remote file:
- 1.21 kB
- SHA256:
- e887fd4f5314a636b1a3414de748b89d386de60f4912edcdd1b8cf91e2e47b92
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