Instructions to use gavrilstep/385c5ff7-f070-450c-adc3-72cc6641f7ac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/385c5ff7-f070-450c-adc3-72cc6641f7ac with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "gavrilstep/385c5ff7-f070-450c-adc3-72cc6641f7ac") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from gavrilstep/385c5ff7-f070-450c-adc3-72cc6641f7ac: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
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https://huggingface.co/gavrilstep/385c5ff7-f070-450c-adc3-72cc6641f7ac/resolve/main/last-checkpoint/tokenizer.json
- Command line
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hf download hf://gavrilstep/385c5ff7-f070-450c-adc3-72cc6641f7ac/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/gavrilstep/385c5ff7-f070-450c-adc3-72cc6641f7ac/resolve/main/last-checkpoint/tokenizer.json
3.52 MB
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