Instructions to use Pyke/DS-config-23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pyke/DS-config-23 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pyke/DS-config-23") model = AutoModelForSeq2SeqLM.from_pretrained("Pyke/DS-config-23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Pyke/DS-config-23: direct link, hf CLI and curl.
- Browser
- Download file 813 MB
-
https://huggingface.co/Pyke/DS-config-23/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Pyke/DS-config-23/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Pyke/DS-config-23/resolve/main/pytorch_model.bin
813 MB
- Xet hash:
- 3c77b7472996db823b8f75fcbeb64170ff05c5bd587f598eb2e2c36f39ca7095
- Size of remote file:
- 813 MB
- SHA256:
- dffbac4fb9b24a97bd45a69c489cf7a54f64960971aeb8a577f7a063e3fd8e89
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