Transformers
PyTorch
JAX
TensorBoard
Finnish
t5
text2text-generation
finnish
byt5
t5x
seq2seq
text-generation-inference
Instructions to use Finnish-NLP/byt5-base-finnish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finnish-NLP/byt5-base-finnish with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Finnish-NLP/byt5-base-finnish") model = AutoModelForSeq2SeqLM.from_pretrained("Finnish-NLP/byt5-base-finnish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Finnish-NLP/byt5-base-finnish: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/Finnish-NLP/byt5-base-finnish/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Finnish-NLP/byt5-base-finnish/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Finnish-NLP/byt5-base-finnish/resolve/main/flax_model.msgpack
2.33 GB
- Xet hash:
- e91d091d82577134f1cfa18cd86acb810a1a42fcf661564b64fa1a8a3d018c2c
- Size of remote file:
- 2.33 GB
- SHA256:
- c0f712581e81baec52af218373ca52d7be62bd97cbbabfa12a71309940246ad8
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