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 training_args.bin from ItcastAI/bert_cn_finetunning: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/ItcastAI/bert_cn_finetunning/resolve/main/training_args.bin
- Command line
-
hf download hf://ItcastAI/bert_cn_finetunning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ItcastAI/bert_cn_finetunning/resolve/main/training_args.bin
1.21 kB
- Xet hash:
- 5a0293ea49fb9f1e3c76d2874532d091316ea534b41c858db787f58973b7f4a2
- Size of remote file:
- 1.21 kB
- SHA256:
- c11ea0d3e04a2870550f2d0ed22ca94c7e667e455b04df7b17d63c0392e901d4
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