Instructions to use song/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use song/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="song/bert_cn_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("song/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("song/bert_cn_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from song/bert_cn_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/song/bert_cn_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://song/bert_cn_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/song/bert_cn_finetuning/resolve/main/training_args.bin
1.23 kB
- Xet hash:
- 2a6a82e7a983ce690f6fc614b800cfb021d0910e138683e44bdbddb120a3b85f
- Size of remote file:
- 1.23 kB
- SHA256:
- e294a85c99a0112ce8834558c3c6cf28cc72c14d802a7dcea152a2bfc26ee904
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