Instructions to use lvwerra/gpt2-imdb-ctrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lvwerra/gpt2-imdb-ctrl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lvwerra/gpt2-imdb-ctrl") model = AutoModel.from_pretrained("lvwerra/gpt2-imdb-ctrl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lvwerra/gpt2-imdb-ctrl: direct link, hf CLI and curl.
- Browser
- Download file 548 MB
-
https://huggingface.co/lvwerra/gpt2-imdb-ctrl/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lvwerra/gpt2-imdb-ctrl/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lvwerra/gpt2-imdb-ctrl/resolve/main/pytorch_model.bin
548 MB
- Xet hash:
- 69cbff7c691d3b86038e88bbfbc815904b2c2a41475482eb5f23bdb6169cc986
- Size of remote file:
- 548 MB
- SHA256:
- 72dc9674e08c7b013a408cf6252286a2453b5eeeb6387094f7e400a6c79abc79
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.