Instructions to use daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc/resolve/main/last-checkpoint/tokenizer.json
- Command line
-
hf download hf://daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc/last-checkpoint/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc/resolve/main/last-checkpoint/tokenizer.json
34.4 MB
- Xet hash:
- eb284ec540544a161910fea60e399e9e0f1ae76eec2744468afc560111f0134f
- Size of remote file:
- 34.4 MB
- SHA256:
- 5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
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