Instructions to use xtie/BioBART-PET-impression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xtie/BioBART-PET-impression 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="xtie/BioBART-PET-impression")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xtie/BioBART-PET-impression") model = AutoModelForSeq2SeqLM.from_pretrained("xtie/BioBART-PET-impression") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 390b46490d7815c8dbeb4cb33f58225576ae32c0bb2d7cde03254e7643efe5d7
- Size of remote file:
- 1.63 GB
- SHA256:
- 081909ccb3c617f08d3e94e863cf2703b4df4fc176318a62466f0403f0386118
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.