Instructions to use amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints") model = AutoModelForCausalLM.from_pretrained("amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 307 MB
-
https://huggingface.co/amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/amirali1985/pythia_70m_ppo_imdb_sentiment_with_checkpoints/resolve/main/pytorch_model.bin
307 MB
- Xet hash:
- e965370d5f8814830fb186f821e469eb9a0219fe4e9c908977bc82de0761a029
- Size of remote file:
- 307 MB
- SHA256:
- 46461a3b01fa284ccb08283160031e9fd3e49a667aec979ca4d7737d88fa82d1
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