Transformers
PyTorch
JAX
TensorBoard
Finnish
t5
text2text-generation
finnish
t5x
seq2seq
ul2
text-generation-inference
Instructions to use Finnish-NLP/ul2-small-nl24-finnish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finnish-NLP/ul2-small-nl24-finnish with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Finnish-NLP/ul2-small-nl24-finnish") model = AutoModelForSeq2SeqLM.from_pretrained("Finnish-NLP/ul2-small-nl24-finnish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # set train hyperparams | |
| unset LD_PRELOAD | |
| PROJECT_DIR="/researchdisk/ul2-small-nl24-finnish" | |
| T5X_DIR=${HOME}"/t5x" # directory where the t5x is cloned. | |
| MODEL_DIR="/researchdisk/ul2-small-nl24-finnish" | |
| export PYTHONPATH=${PROJECT_DIR} | |
| python3 ${T5X_DIR}/t5x/train.py \ | |
| --gin_search_paths=${PROJECT_DIR} \ | |
| --gin_file="small_nl24_pretrain.gin" \ | |
| --gin.MODEL_DIR=\"${MODEL_DIR}\" |