Instructions to use ItcastAI/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ItcastAI/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ItcastAI/bert_cn_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ItcastAI/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("ItcastAI/bert_cn_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ItcastAI/bert_cn_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/ItcastAI/bert_cn_finetuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ItcastAI/bert_cn_finetuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ItcastAI/bert_cn_finetuning/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- eb8a8d78a9f40efae3573eb46fbccd4a9772f7e786a5a3b0a4df750df8f7ef82
- Size of remote file:
- 409 MB
- SHA256:
- b4edc73142aa914926c1088bdfdf6af1ab815859aef37d848378a22c404fe86c
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