Instructions to use suku9/pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suku9/pretrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, GPT2ForSMILES tokenizer = AutoTokenizer.from_pretrained("suku9/pretrain") model = GPT2ForSMILES.from_pretrained("suku9/pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from suku9/pretrain: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/suku9/pretrain/resolve/main/training_args.bin
- Command line
-
hf download hf://suku9/pretrain/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/suku9/pretrain/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f8ad74c49cfbbaac4f74ace0eee7df59f7510f90291c86e87c62a766de3078f7
- Size of remote file:
- 5.3 kB
- SHA256:
- 40e507b8cb0e928a74f5508eaa6e52f5466443d703255160a0562bdad49d6a7b
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