Instructions to use Raychanan/bert-base-chinese-first512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychanan/bert-base-chinese-first512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raychanan/bert-base-chinese-first512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/bert-base-chinese-first512") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/bert-base-chinese-first512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Raychanan/bert-base-chinese-first512: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/Raychanan/bert-base-chinese-first512/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Raychanan/bert-base-chinese-first512/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Raychanan/bert-base-chinese-first512/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 48ba4c634b8d0426eadec4bf07ebbbd923b6ef4d1829baccbf447ff210045fe9
- Size of remote file:
- 409 MB
- SHA256:
- 2371c58e5fac497e6fbfb688009e79b1ae9c9e099ff641a870affa2ae91b15c7
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