Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use spacemanidol/flan-t5-large-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spacemanidol/flan-t5-large-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("spacemanidol/flan-t5-large-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("spacemanidol/flan-t5-large-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from spacemanidol/flan-t5-large-xsum: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/spacemanidol/flan-t5-large-xsum/resolve/main/training_args.bin
- Command line
-
hf download hf://spacemanidol/flan-t5-large-xsum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/spacemanidol/flan-t5-large-xsum/resolve/main/training_args.bin
3.63 kB
- Xet hash:
- 389feeefb7119bed897d7adf9942dbe36a8774c786260fd7916faef88c806656
- Size of remote file:
- 3.63 kB
- SHA256:
- c2a2956152054b88a921c5f419970db43be75079e905132146014cf8e732fac3
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