Instructions to use AndyChiang/cdgp-csg-scibert-dgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-scibert-dgen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-scibert-dgen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-scibert-dgen") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-scibert-dgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AndyChiang/cdgp-csg-scibert-dgen: direct link, hf CLI and curl.
- Browser
- Download file 717 kB
-
https://huggingface.co/AndyChiang/cdgp-csg-scibert-dgen/resolve/main/tokenizer.json
- Command line
-
hf download hf://AndyChiang/cdgp-csg-scibert-dgen/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AndyChiang/cdgp-csg-scibert-dgen/resolve/main/tokenizer.json
717 kB
File too large to display, you can check the raw version instead.