Transformers
Safetensors
Italian
text-generation-inference
unsloth
mistral
trl
word-game
rebus
italian
word-puzzle
crossword
Eval Results (legacy)
Instructions to use gsarti/phi3-mini-rebus-solver-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/phi3-mini-rebus-solver-adapters with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gsarti/phi3-mini-rebus-solver-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from gsarti/phi3-mini-rebus-solver-adapters: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/gsarti/phi3-mini-rebus-solver-adapters/resolve/main/training_args.bin
- Command line
-
hf download hf://gsarti/phi3-mini-rebus-solver-adapters/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gsarti/phi3-mini-rebus-solver-adapters/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 55182d680acc7b8148656dfd27864bb73e21dd05660c2f6437706ae9fa2ba3d6
- Size of remote file:
- 5.18 kB
- SHA256:
- 75f2df79cc4688fbd228793763c6cb600c0be7768b2e4147e592d051901ecb5e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.