Instructions to use M3LBY/SmolLM2-1.7B-UltraChat_200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use M3LBY/SmolLM2-1.7B-UltraChat_200k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "M3LBY/SmolLM2-1.7B-UltraChat_200k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aab20b00f6f8f47f2000029d87241567a27be5c56e2f86a3bd0d77042fb7a0b6
- Size of remote file:
- 6.3 MB
- SHA256:
- a186726c896797e9785c4d09d924cc27cba09f65ae961b0adad189f5e246add9
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