Instructions to use samoline/654dc279-936a-41d5-85a9-7be2612edd80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samoline/654dc279-936a-41d5-85a9-7be2612edd80 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "samoline/654dc279-936a-41d5-85a9-7be2612edd80") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/vocab.json from samoline/654dc279-936a-41d5-85a9-7be2612edd80: direct link, hf CLI and curl.
- Browser
- Download file 801 kB
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https://huggingface.co/samoline/654dc279-936a-41d5-85a9-7be2612edd80/resolve/42e4e4d67d0391ce25fa9aaa0c5fd55d931f98fb/last-checkpoint/vocab.json
- Command line
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hf download hf://samoline/654dc279-936a-41d5-85a9-7be2612edd80@42e4e4d67d0391ce25fa9aaa0c5fd55d931f98fb/last-checkpoint/vocab.json
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curl -L -o vocab.json https://huggingface.co/samoline/654dc279-936a-41d5-85a9-7be2612edd80/resolve/42e4e4d67d0391ce25fa9aaa0c5fd55d931f98fb/last-checkpoint/vocab.json
801 kB
File too large to display, you can check the raw version instead.