Instructions to use Declan/CNN_model_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/CNN_model_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/CNN_model_v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/CNN_model_v6") model = AutoModelForMaskedLM.from_pretrained("Declan/CNN_model_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/CNN_model_v6: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/CNN_model_v6/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Declan/CNN_model_v6@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/CNN_model_v6/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- 30cd8391ddef0eeb8a9b82350819cd881a33edb15aca5c5a5618f0d8c659f480
- Size of remote file:
- 438 MB
- SHA256:
- 01938934fc8c652f8d3aeaacdded0b7f12552f2ff70eae4ffc1c4b897232f838
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