Instructions to use suku9/pretrained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suku9/pretrained_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, GPT2ForSMILES tokenizer = AutoTokenizer.from_pretrained("suku9/pretrained_model") model = GPT2ForSMILES.from_pretrained("suku9/pretrained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from suku9/pretrained_model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/suku9/pretrained_model/resolve/main/training_args.bin
- Command line
-
hf download hf://suku9/pretrained_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/suku9/pretrained_model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 1d2244fa639bba46b87c78146af3eabd8e878baa47a15d8e354d1b221bd22369
- Size of remote file:
- 5.3 kB
- SHA256:
- bd8a586afe509f8ceae0fc1371dbf15f84cdbe7049b8b27334b922072267d1ae
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