Instructions to use Jonnylaw/flan-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jonnylaw/flan-t5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jonnylaw/flan-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("Jonnylaw/flan-t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Jonnylaw/flan-t5-large: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/Jonnylaw/flan-t5-large/resolve/main/tokenizer.json
- Command line
-
hf download hf://Jonnylaw/flan-t5-large/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Jonnylaw/flan-t5-large/resolve/main/tokenizer.json
2.42 MB
- Xet hash:
- 2bda60be6efe19ac24379dc45f24a6974f0bfcf9f201b2aee4d2822551ec8a33
- Size of remote file:
- 2.42 MB
- SHA256:
- 9a1b181f89d682aae3eb3ece02bbcd55d3b86e6399fd0df416b84ef381312351
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