Instructions to use patrickvonplaten/roberta_shared_bbc_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/roberta_shared_bbc_xsum 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="patrickvonplaten/roberta_shared_bbc_xsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/roberta_shared_bbc_xsum") model = AutoModelForSeq2SeqLM.from_pretrained("patrickvonplaten/roberta_shared_bbc_xsum") - Notebooks
- Google Colab
- Kaggle
The link was for BERT2BERT warm start model, not the RoBERTaShared model
#3 opened over 2 years ago
by
pyRis
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
it's not working
#1 opened over 3 years ago
by
peshangjaafar