Instructions to use duarteocarmo/flan-t5-base-tigger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duarteocarmo/flan-t5-base-tigger with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("duarteocarmo/flan-t5-base-tigger") model = AutoModelForSeq2SeqLM.from_pretrained("duarteocarmo/flan-t5-base-tigger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from duarteocarmo/flan-t5-base-tigger: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/duarteocarmo/flan-t5-base-tigger/resolve/main/training_args.bin
- Command line
-
hf download hf://duarteocarmo/flan-t5-base-tigger/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/duarteocarmo/flan-t5-base-tigger/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 18e72e8e59e7dbac1a9d4b1f136aeaa266453a9b2d3c782d1fd3243e853feeef
- Size of remote file:
- 4.09 kB
- SHA256:
- 408bf5cd6803c51975678b7253078d9f048f33f5b1e838ee630e5c3e9fa9bb46
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