Instructions to use michaelfeil/ct2fast-pythia-160m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-pythia-160m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-pythia-160m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from michaelfeil/ct2fast-pythia-160m: direct link, hf CLI and curl.
- Browser
- Download file 325 MB
-
https://huggingface.co/michaelfeil/ct2fast-pythia-160m/resolve/main/model.bin
- Command line
-
hf download hf://michaelfeil/ct2fast-pythia-160m/model.bin
-
curl -L -o model.bin https://huggingface.co/michaelfeil/ct2fast-pythia-160m/resolve/main/model.bin
325 MB
- Xet hash:
- 16bcc31a30c8ed5bd4895600c5eec6a77d2ac1a7b12e7eb2d873bc281079264a
- Size of remote file:
- 325 MB
- SHA256:
- 3aedd2ecb85a8df8ad10e182c1b2a9caf4a09aa14a3309769506eeb16f71bab2
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