Instructions to use ELiRF/NASCA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ELiRF/NASCA 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="ELiRF/NASCA")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ELiRF/NASCA") model = AutoModelForSeq2SeqLM.from_pretrained("ELiRF/NASCA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919a08b68a38f3d8d4190055e408816010a049fbe31a728bfc7147c05c41f934
- Size of remote file:
- 1.66 GB
- SHA256:
- 804e8dd701bed8a05cbb617a1342b972267161bf35b63d7bda7c1d4981f7db79
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.