Instructions to use besimray/tmplrtest1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use besimray/tmplrtest1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4084e1ff-15bf-4a3b-a548-bd073151d1d5") model = PeftModel.from_pretrained(base_model, "besimray/tmplrtest1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from besimray/tmplrtest1: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/besimray/tmplrtest1/resolve/main/tokenizer.json
- Command line
-
hf download hf://besimray/tmplrtest1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/besimray/tmplrtest1/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- c4c7aa84fb94a696d78f2bde62590a25b6741b7365ed842f9310b5dcab71d95d
- Size of remote file:
- 33.4 MB
- SHA256:
- 4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
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