Instructions to use trl-lib/llama-7b-se-rl-peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-lib/llama-7b-se-rl-peft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trl-lib/llama-7b-se-rl-peft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5bae53e9e29bc03ff77cb93bfb9d0fda2546f5bf6391e88db32eee51202e508
- Size of remote file:
- 33.6 MB
- SHA256:
- e90eae24a9d0992ff9271c648d5a2a07ba2b4f23877da1a2ae70f4635afcc1dd
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