Instructions to use chihao/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chihao/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chihao/bert_cn_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chihao/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("chihao/bert_cn_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chihao/bert_cn_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 1.2 kB
-
https://huggingface.co/chihao/bert_cn_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://chihao/bert_cn_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chihao/bert_cn_finetuning/resolve/main/training_args.bin
1.2 kB
- Xet hash:
- 1ea838b145f768959a7730e77227a3880bb137d4c158d350a21759fbe5a66912
- Size of remote file:
- 1.2 kB
- SHA256:
- a2ef4ad39c386aa1b1d7b89db77fcca65fec6ce2463f89b33c196526fa32dab0
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