Instructions to use MatricariaV/mt5-base-1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatricariaV/mt5-base-1epoch with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MatricariaV/mt5-base-1epoch") model = AutoModelForSeq2SeqLM.from_pretrained("MatricariaV/mt5-base-1epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MatricariaV/mt5-base-1epoch: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/MatricariaV/mt5-base-1epoch/resolve/main/tokenizer.json
- Command line
-
hf download hf://MatricariaV/mt5-base-1epoch/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MatricariaV/mt5-base-1epoch/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- aaf3465da57d381a9b72a02600483356186867d8d844a2cc1ab327edc4434f0d
- Size of remote file:
- 16.3 MB
- SHA256:
- 967e9798d698b2e21e27cbf54d82ec442da5749e0254f1ba08153aa9bf5ea3b3
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