Instructions to use Declan/NPR_model_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/NPR_model_v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/NPR_model_v5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/NPR_model_v5") model = AutoModelForMaskedLM.from_pretrained("Declan/NPR_model_v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/NPR_model_v5: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/NPR_model_v5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/NPR_model_v5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/NPR_model_v5/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 3384335a85d24223699b1ed9184b1c2f7bf095b192644243d183c2f895779a01
- Size of remote file:
- 438 MB
- SHA256:
- b840fd3f29691c41d1c866e3c04193b0626e2c78f4ce104e97bd53acad6ef468
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