Instructions to use jonathanjordan21/mt5-base-finetuned-lora-sql-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanjordan21/mt5-base-finetuned-lora-sql-merged with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jonathanjordan21/mt5-base-finetuned-lora-sql-merged") model = AutoModelForSeq2SeqLM.from_pretrained("jonathanjordan21/mt5-base-finetuned-lora-sql-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jonathanjordan21/mt5-base-finetuned-lora-sql-merged: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/jonathanjordan21/mt5-base-finetuned-lora-sql-merged/resolve/main/tokenizer.json
- Command line
-
hf download hf://jonathanjordan21/mt5-base-finetuned-lora-sql-merged/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jonathanjordan21/mt5-base-finetuned-lora-sql-merged/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 0fec81d2aa536ca676e99b8852d592ea2e8937eb27d8df6c2adb0080a1cd1970
- Size of remote file:
- 16.3 MB
- SHA256:
- 3c9b5296bb1bdbcc33ccb40be1c81db3a36335a1c2b080a5368b48fb7a9eaa66
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