Instructions to use GleghornLab/cdsBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/cdsBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GleghornLab/cdsBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GleghornLab/cdsBERT") model = AutoModelForMaskedLM.from_pretrained("GleghornLab/cdsBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from GleghornLab/cdsBERT: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/GleghornLab/cdsBERT/resolve/main/generation_config.json
- Command line
-
hf download hf://GleghornLab/cdsBERT/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/GleghornLab/cdsBERT/resolve/main/generation_config.json
90 Bytes
| { | |
| "_from_model_config": true, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.33.3" | |
| } | |