Instructions to use ItcastAI/bert_cn_finetunning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ItcastAI/bert_cn_finetunning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ItcastAI/bert_cn_finetunning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ItcastAI/bert_cn_finetunning") model = AutoModelForSequenceClassification.from_pretrained("ItcastAI/bert_cn_finetunning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ItcastAI/bert_cn_finetunning: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/ItcastAI/bert_cn_finetunning/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ItcastAI/bert_cn_finetunning/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ItcastAI/bert_cn_finetunning/resolve/main/tokenizer_config.json
40 Bytes
| {"do_lower_case": false, "max_len": 512} |