Instructions to use michaelwaves/gpt-20b-insecure-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelwaves/gpt-20b-insecure-weights with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelwaves/gpt-20b-insecure-weights", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from michaelwaves/gpt-20b-insecure-weights: direct link, hf CLI and curl.
- Browser
- Download file 27.9 MB
-
https://huggingface.co/michaelwaves/gpt-20b-insecure-weights/resolve/main/tokenizer.json
- Command line
-
hf download hf://michaelwaves/gpt-20b-insecure-weights/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/michaelwaves/gpt-20b-insecure-weights/resolve/main/tokenizer.json
27.9 MB
- Xet hash:
- c55846686d68918bb333fea55bb0c66fba7ff4aa4b2c3f34145a521ddf4050c6
- Size of remote file:
- 27.9 MB
- SHA256:
- 0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.