Instructions to use ainewtrend07/google-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ainewtrend07/google-mt5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ainewtrend07/google-mt5-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ainewtrend07/google-mt5-base") model = AutoModelForSequenceClassification.from_pretrained("ainewtrend07/google-mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from ainewtrend07/google-mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 4.31 MB
-
https://huggingface.co/ainewtrend07/google-mt5-base/resolve/main/spiece.model
- Command line
-
hf download hf://ainewtrend07/google-mt5-base/spiece.model
-
curl -L -o spiece.model https://huggingface.co/ainewtrend07/google-mt5-base/resolve/main/spiece.model
4.31 MB
- Xet hash:
- e014fc644c17ceafb530dcbdb2b4f99ac49de1cfddf963448275df9f4b091cde
- Size of remote file:
- 4.31 MB
- SHA256:
- ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
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