Instructions to use zhuqing/v1-theme2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhuqing/v1-theme2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zhuqing/v1-theme2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zhuqing/v1-theme2") model = AutoModelForMaskedLM.from_pretrained("zhuqing/v1-theme2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from zhuqing/v1-theme2: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/zhuqing/v1-theme2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://zhuqing/v1-theme2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zhuqing/v1-theme2/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 34c92f444bec74255fc810c4a2c8aad6d37431f1f1492813ff5bf84772edf800
- Size of remote file:
- 329 MB
- SHA256:
- 507964ef97efce08ddf729bc9abceb14a4bc27a29041cf0460ca7a3506dd9083
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