Instructions to use Declan/ChicagoTribune_model_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/ChicagoTribune_model_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/ChicagoTribune_model_v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/ChicagoTribune_model_v4") model = AutoModelForMaskedLM.from_pretrained("Declan/ChicagoTribune_model_v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/ChicagoTribune_model_v4: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/ChicagoTribune_model_v4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/ChicagoTribune_model_v4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/ChicagoTribune_model_v4/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- e9f42c765b92386eb9afce75e8088bfdb4245b5f28fcbc9a334e8e55b99fffe3
- Size of remote file:
- 438 MB
- SHA256:
- 120e923ec6efe2f039cb9598498a96c0fea78a9e2e7522c28be90d6d05a79aae
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