Transformers
Safetensors
Italian
text-generation-inference
unsloth
llama
llama3.1
trl
word-game
rebus
italian
word-puzzle
crossword
Eval Results (legacy)
Instructions to use gsarti/llama-3.1-8b-rebus-solver-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/llama-3.1-8b-rebus-solver-adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gsarti/llama-3.1-8b-rebus-solver-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from gsarti/llama-3.1-8b-rebus-solver-adapters: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/gsarti/llama-3.1-8b-rebus-solver-adapters/resolve/3fe22d9dc2181fd10767b9a045dffdd7e628fa9a/training_args.bin
- Command line
-
hf download hf://gsarti/llama-3.1-8b-rebus-solver-adapters@3fe22d9dc2181fd10767b9a045dffdd7e628fa9a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gsarti/llama-3.1-8b-rebus-solver-adapters/resolve/3fe22d9dc2181fd10767b9a045dffdd7e628fa9a/training_args.bin
5.24 kB
- Xet hash:
- fb94fa33293e2935f976fc3d91642258f4befdf5fb591b5252d27c3893ace6fe
- Size of remote file:
- 5.24 kB
- SHA256:
- 569bc2f991e19e2532d937c8855b634b3310e10e0a8616b43f8b44ec953b39e1
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