Instructions to use angel1987/T5_Simile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use angel1987/T5_Simile with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("angel1987/T5_Simile") model = AutoModelForSeq2SeqLM.from_pretrained("angel1987/T5_Simile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from angel1987/T5_Simile: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/angel1987/T5_Simile/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://angel1987/T5_Simile/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/angel1987/T5_Simile/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 85aef123c2fa64ef52e6ef7e59878ce5c7a036379cd0c3580079db99f9295d2b
- Size of remote file:
- 892 MB
- SHA256:
- 5b62b5633a373b83834692825ad53f2634abdbc6e15fb1c1c482d54c2563bf27
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