Instructions to use AndyChiang/cdgp-csg-roberta-cloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-roberta-cloth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-roberta-cloth")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-roberta-cloth") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-roberta-cloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AndyChiang/cdgp-csg-roberta-cloth: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/AndyChiang/cdgp-csg-roberta-cloth/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AndyChiang/cdgp-csg-roberta-cloth/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AndyChiang/cdgp-csg-roberta-cloth/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 802e7f108601f2968e44bc02c86aa32f693306d8c5103bdba9ab8f451a86b9af
- Size of remote file:
- 499 MB
- SHA256:
- 60f0410cfcfe04fd99c5c53c00453096b01dad46e64b1cb539c621cef193d1eb
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