Instructions to use AndyChiang/cdgp-csg-scibert-cloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-scibert-cloth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-scibert-cloth")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-scibert-cloth") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-scibert-cloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AndyChiang/cdgp-csg-scibert-cloth: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/AndyChiang/cdgp-csg-scibert-cloth/resolve/738f8663bbecd9b5be3a78758047274506c2a64d/pytorch_model.bin
- Command line
-
hf download hf://AndyChiang/cdgp-csg-scibert-cloth@738f8663bbecd9b5be3a78758047274506c2a64d/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AndyChiang/cdgp-csg-scibert-cloth/resolve/738f8663bbecd9b5be3a78758047274506c2a64d/pytorch_model.bin
440 MB
- Xet hash:
- 8482c39fa13388951ee52d947e886ce584860fb7006722257924588397fa8251
- Size of remote file:
- 440 MB
- SHA256:
- f5fa540f128b54b4595e809279d11c00b8b77c2c21ed409456eaed2d99145b20
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