Instructions to use mateiaass/T5Base-Summary-7e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateiaass/T5Base-Summary-7e5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mateiaass/T5Base-Summary-7e5") model = AutoModelForSeq2SeqLM.from_pretrained("mateiaass/T5Base-Summary-7e5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from mateiaass/T5Base-Summary-7e5: direct link, hf CLI and curl.
- Browser
- Download file 1.46 MB
-
https://huggingface.co/mateiaass/T5Base-Summary-7e5/resolve/main/spiece.model
- Command line
-
hf download hf://mateiaass/T5Base-Summary-7e5/spiece.model
-
curl -L -o spiece.model https://huggingface.co/mateiaass/T5Base-Summary-7e5/resolve/main/spiece.model
1.46 MB
- Xet hash:
- 2bc52403078ba2882c0afd7397cd5df09520deacba4f7b88255f695028a880a2
- Size of remote file:
- 1.46 MB
- SHA256:
- e8b0c94f9d6e9e75161a1365e73132f35666ab675de0d5ae10ec9f6f5eacda09
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