Instructions to use PoseyATX/Humiliated_Dolphin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PoseyATX/Humiliated_Dolphin with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="PoseyATX/Humiliated_Dolphin")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PoseyATX/Humiliated_Dolphin") model = AutoModelForSeq2SeqLM.from_pretrained("PoseyATX/Humiliated_Dolphin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PoseyATX/Humiliated_Dolphin: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/PoseyATX/Humiliated_Dolphin/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PoseyATX/Humiliated_Dolphin/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PoseyATX/Humiliated_Dolphin/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 32bf9ea625ff032e8f057d6db3eba96145dd77f7172f51a9ac32055279b732dd
- Size of remote file:
- 2.28 GB
- SHA256:
- 996052530307750ba2a609bfd70c7bbab22db45f3995f509f498ad8e28d88de3
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