Instructions to use Rostlab/ProstT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/ProstT5 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Rostlab/ProstT5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rostlab/ProstT5") model = AutoModelForSeq2SeqLM.from_pretrained("Rostlab/ProstT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adds new dataset URL to the model card (#1)
- Adds new dataset URL to the model card (ea96e8d3c01a1190de948816efdaea1705c16b1e) Co-authored-by: Adrian Henkel <adrianhenkel@users.noreply.huggingface.co>d7d097d
-
Update README.md
648ea67 -
Update README.md
a48e328 -
Upload prostt5_sketch2.png
96a6ac9 -
Upload prostt5_sketch.png
42f2266 -
Uploading ProstT5 checkpoint
prosst5_v4_bW2_L512_epoch4/step_160kef54505 -
initial commit
c9883e1