Instructions to use lvcalucioli/zephyr-7b-beta_self-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lvcalucioli/zephyr-7b-beta_self-supervised with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "lvcalucioli/zephyr-7b-beta_self-supervised") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4a3995a2c0679668645cec68139f33d94dcb6d200faa4cbbf06ec65c714b900
- Size of remote file:
- 4.41 kB
- SHA256:
- 691b2ecb6bab45dbec44ef6465e5a2780ae57d19e826b819e033ec38ffb67cc0
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