Instructions to use Declan/HuffPost_model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/HuffPost_model_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/HuffPost_model_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/HuffPost_model_v2") model = AutoModelForMaskedLM.from_pretrained("Declan/HuffPost_model_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/HuffPost_model_v2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/HuffPost_model_v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/HuffPost_model_v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/HuffPost_model_v2/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 92133ce3b9735d6660b5f15e728d735770f979048be178ffcdb5f83cd151e672
- Size of remote file:
- 438 MB
- SHA256:
- ad14c846a825b643bf0ef5da50367866ced5383644c43a2e955d13b2a68677e7
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