Instructions to use nacef-labidi/llm-jort with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nacef-labidi/llm-jort with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "nacef-labidi/llm-jort") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nacef-labidi/llm-jort: direct link, hf CLI and curl.
- Browser
- Download file 14.5 MB
-
https://huggingface.co/nacef-labidi/llm-jort/resolve/main/tokenizer.json
- Command line
-
hf download hf://nacef-labidi/llm-jort/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nacef-labidi/llm-jort/resolve/main/tokenizer.json
14.5 MB
- Xet hash:
- 6c21e9666e897e46d97ee9f1fe6ad56639936c0ff441d032978a49bb0e0fd08a
- Size of remote file:
- 14.5 MB
- SHA256:
- 17a208233d2ee8d8c83b23bc214df737c44806a1919f444e89b31e586cd956ba
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