Instructions to use 3dalgo/language_table_mini2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 3dalgo/language_table_mini2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "3dalgo/language_table_mini2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 3dalgo/language_table_mini2: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/3dalgo/language_table_mini2/resolve/main/training_args.bin
- Command line
-
hf download hf://3dalgo/language_table_mini2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/3dalgo/language_table_mini2/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 19945a0c2266c6575561ecb1837ca9973a5b6094110f275607dcb5782b780d02
- Size of remote file:
- 5.18 kB
- SHA256:
- f07ac902a94a2577898286007f66e7274b5759d003a4d69ac44b764ebbf8c3cf
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