Instructions to use Declan/CNN_model_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/CNN_model_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/CNN_model_v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/CNN_model_v4") model = AutoModelForMaskedLM.from_pretrained("Declan/CNN_model_v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/CNN_model_v4: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/CNN_model_v4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/CNN_model_v4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/CNN_model_v4/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 41b858bf9ecf15ebbc54ec753eff30a6824cb3907140fc3883129a454f367df6
- Size of remote file:
- 438 MB
- SHA256:
- 0f350fd9a6efb84aaad41ab523a896dc2eb93c0741d68512b4b86081932b568c
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