Instructions to use omarelsayeed/cringe_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/cringe_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("omarelsayeed/cringe_model") model = AutoModelForSeq2SeqLM.from_pretrained("omarelsayeed/cringe_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from omarelsayeed/cringe_model: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/omarelsayeed/cringe_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://omarelsayeed/cringe_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/omarelsayeed/cringe_model/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 9ddbbfe8f00d67420463fc5d6a158a126c0dd5f829cac14faffe226cfe47c85a
- Size of remote file:
- 557 MB
- SHA256:
- 4a86c7ddb2acb2ee24b515b37f5599de2141778c7fc1a9cc3765fd64d7bf9f53
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