Transformers
Safetensors
lora_r_4
lora_alpha_16
batch_size_12
deepseek
lora-finetuned
lora_r_2
sft-lora-finetuned
lora_r_8
batch_size_8
lora_alpha_8
lora_r_16
batch_size_4
lora_alpha_32
soft_length
baseline
Instructions to use thisisisaac/cs234 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisisisaac/cs234 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thisisisaac/cs234", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 014cfde69e9504e25e130c4423ea3886793a8abdb954a1cfceda1f2817f1fb81
- Size of remote file:
- 11.4 MB
- SHA256:
- dd31eef5ea3284b83a141820d04fd707481bd4bc2b10a8b7a02d7b0db10e8877
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.