Instructions to use jekunz/smollm-135m-lora-fineweb-faroese-transfer-from-norwegian-bokmaal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jekunz/smollm-135m-lora-fineweb-faroese-transfer-from-norwegian-bokmaal with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM2-135M-Instruct") model = PeftModel.from_pretrained(base_model, "jekunz/smollm-135m-lora-fineweb-faroese-transfer-from-norwegian-bokmaal") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fd3bdc4c6df6bc727b4a2e7dd07e47a63218f2b68a07d17cbeaf8934809f459
- Size of remote file:
- 5.43 kB
- SHA256:
- 8ac6538911f0b8ffb6b41bea727de6e8be10cb6446eff7e678168b4396e5f8fe
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