Instructions to use windowsartes/roformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use windowsartes/roformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="windowsartes/roformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("windowsartes/roformer") model = AutoModelForMaskedLM.from_pretrained("windowsartes/roformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from windowsartes/roformer: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/windowsartes/roformer/resolve/main/generation_config.json
- Command line
-
hf download hf://windowsartes/roformer/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/windowsartes/roformer/resolve/main/generation_config.json
90 Bytes
| { | |
| "_from_model_config": true, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.40.1" | |
| } | |