Instructions to use zhuqing/v1-theme1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhuqing/v1-theme1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zhuqing/v1-theme1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zhuqing/v1-theme1") model = AutoModelForMaskedLM.from_pretrained("zhuqing/v1-theme1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from zhuqing/v1-theme1: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/zhuqing/v1-theme1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://zhuqing/v1-theme1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zhuqing/v1-theme1/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- f7d147be64699aecbf31c2e221f6a86a9d504238a5d7017b54bedbfc9d3c1566
- Size of remote file:
- 329 MB
- SHA256:
- eea7bd907e0c3d01b789e9ee15f6e7df13032f5ecb66d2772cb7fca2a0dc8030
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