Instructions to use RohamKoohestani/finetune_starcoder2_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RohamKoohestani/finetune_starcoder2_3b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RohamKoohestani/finetune_starcoder2_3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RohamKoohestani/finetune_starcoder2_3b: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/RohamKoohestani/finetune_starcoder2_3b/resolve/main/training_args.bin
- Command line
-
hf download hf://RohamKoohestani/finetune_starcoder2_3b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RohamKoohestani/finetune_starcoder2_3b/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- efc0349b89519ab084605866d7417fe4c70b5bf95fc5c8ddfde10b76ef88a26d
- Size of remote file:
- 5.56 kB
- SHA256:
- 8d67b1ae4fc83ef89fe869d8f086671d0519a4389223862c8f4888e197f12ef6
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