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 training_args.bin from ItcastAI/bert_cn_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/ItcastAI/bert_cn_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://ItcastAI/bert_cn_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ItcastAI/bert_cn_finetuning/resolve/main/training_args.bin
1.21 kB
- Xet hash:
- ea9188616ce61aec704f163dabc393a70c7cbcee747310fc4d5c73aaec8dcc47
- Size of remote file:
- 1.21 kB
- SHA256:
- 7a18703b72a712724be573d693fb5ac32712c84ed1f88783231ba4cd980ee44c
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