Instructions to use Splend1dchan/long-t5lephone-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/long-t5lephone-5000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/long-t5lephone-5000") model = AutoModelForSeq2SeqLM.from_pretrained("Splend1dchan/long-t5lephone-5000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Splend1dchan/long-t5lephone-5000: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/Splend1dchan/long-t5lephone-5000/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Splend1dchan/long-t5lephone-5000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Splend1dchan/long-t5lephone-5000/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- ad65959ad802893cf150dba1a088d7f416513f018a357650637f8eb21f5ce505
- Size of remote file:
- 990 MB
- SHA256:
- e7fb90cd74aa26668f21bad277f38dba420098c0d3fbe8b4bcf00ccebaf735a9
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