Instructions to use Declan/ChicagoTribune_model_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/ChicagoTribune_model_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/ChicagoTribune_model_v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/ChicagoTribune_model_v6") model = AutoModelForMaskedLM.from_pretrained("Declan/ChicagoTribune_model_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/ChicagoTribune_model_v6: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/ChicagoTribune_model_v6/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/ChicagoTribune_model_v6/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/ChicagoTribune_model_v6/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 626b3a4a2a9f6c4f4a51dbcdc4c392fb96925b43d7f483013998c4bc45f5fa14
- Size of remote file:
- 438 MB
- SHA256:
- aab2801786aaa8bd58e879b318341d161cd16e1167319e45a285cf8f0c258ce3
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