Instructions to use yawnick/mt5-small-paracrawl-dede with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yawnick/mt5-small-paracrawl-dede with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yawnick/mt5-small-paracrawl-dede") model = AutoModelForSeq2SeqLM.from_pretrained("yawnick/mt5-small-paracrawl-dede", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fe556670719e71d030efa9d9825c3425976ea78a901862c55ac37beac30f2d9
- Size of remote file:
- 1.2 GB
- SHA256:
- 262d84d7bc6ad252eed0d237c7e46e36eef18598d3ec0a5d4ef72ab96743265c
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