Instructions to use tomekkorbak/hungry_carson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomekkorbak/hungry_carson with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tomekkorbak/hungry_carson") model = AutoModel.from_pretrained("tomekkorbak/hungry_carson", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2008/pytorch_model.bin from tomekkorbak/hungry_carson: direct link, hf CLI and curl.
- Browser
- Download file 510 MB
-
https://huggingface.co/tomekkorbak/hungry_carson/resolve/main/checkpoint-2008/pytorch_model.bin
- Command line
-
hf download hf://tomekkorbak/hungry_carson/checkpoint-2008/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tomekkorbak/hungry_carson/resolve/main/checkpoint-2008/pytorch_model.bin
510 MB
- Xet hash:
- 5f837b32130c2d68709b526d985935bb49fc83d1e13e267ca1a0e2a34fe1e703
- Size of remote file:
- 510 MB
- SHA256:
- c007214fac54c5bdf8219065e79daf68c5b7d8dc3a1e58e4a121e2fc17f7077b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.