Instructions to use T-Systems-onsite/mt5-small-sum-de-en-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T-Systems-onsite/mt5-small-sum-de-en-v2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="T-Systems-onsite/mt5-small-sum-de-en-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/mt5-small-sum-de-en-v2") model = AutoModelForSeq2SeqLM.from_pretrained("T-Systems-onsite/mt5-small-sum-de-en-v2") - Notebooks
- Google Colab
- Kaggle
Optimal parameters for inference use
3
#4 opened over 1 year ago
by
Schachdepp
Mixed results
1
#3 opened almost 3 years ago
by
TschonnyCache