Instructions to use sergioalves/dc524394-39d6-42b0-82e0-ca7d6cc80c5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/dc524394-39d6-42b0-82e0-ca7d6cc80c5b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "sergioalves/dc524394-39d6-42b0-82e0-ca7d6cc80c5b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce7ce590b8d8ca3a5f854300d60a7c9953b1da9d34187ca6b0fff82f8802ce76
- Size of remote file:
- 6.78 kB
- SHA256:
- 308eba52befb21806f0f9368ccc9f7e4b46fd1f0364c260bdf69af04d1fa7dc4
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