Instructions to use PSW/4dataset-totalgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/4dataset-totalgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/4dataset-totalgen") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/4dataset-totalgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/4dataset-totalgen: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/PSW/4dataset-totalgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/4dataset-totalgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/4dataset-totalgen/resolve/main/pytorch_model.bin
1.07 GB
- Xet hash:
- 439273b6dd43cda065778e55f79054ea30b8f8200330333a166d428e90c3bb96
- Size of remote file:
- 1.07 GB
- SHA256:
- 4b4997f8d3234bb60821c0f0664d83de7d9809d0077fc9b2a6049f699a1b42ba
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