Instructions to use napatswift/mt5-budget-seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use napatswift/mt5-budget-seq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("napatswift/mt5-budget-seq") model = AutoModelForSeq2SeqLM.from_pretrained("napatswift/mt5-budget-seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from napatswift/mt5-budget-seq: direct link, hf CLI and curl.
- Browser
- Download file 2.43 MB
-
https://huggingface.co/napatswift/mt5-budget-seq/resolve/main/tokenizer.json
- Command line
-
hf download hf://napatswift/mt5-budget-seq/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/napatswift/mt5-budget-seq/resolve/main/tokenizer.json
2.43 MB
- Xet hash:
- d9d8a21a92826fa0915534f1755ec07d6ade18170f366f7cecef5bb036e3d781
- Size of remote file:
- 2.43 MB
- SHA256:
- e58c720ed83af78e2768b2cfa582aa15ea75630b56f0181045194419e7dbd805
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