Summarization
Transformers
TensorBoard
ONNX
Safetensors
French
t5
text2text-generation
text-generation-inference
Instructions to use xavierbarbier/t5-small-mlsum-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xavierbarbier/t5-small-mlsum-fr 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="xavierbarbier/t5-small-mlsum-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("xavierbarbier/t5-small-mlsum-fr") model = AutoModelForMultimodalLM.from_pretrained("xavierbarbier/t5-small-mlsum-fr") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
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