Instructions to use CreatorPhan/ViSummary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CreatorPhan/ViSummary 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="CreatorPhan/ViSummary")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CreatorPhan/ViSummary") model = AutoModelForSeq2SeqLM.from_pretrained("CreatorPhan/ViSummary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc47c64f5479b69ca35a33bb75cad206cf3cb67de19d6aa40426f9214d2a15c0
- Size of remote file:
- 904 MB
- SHA256:
- 4f6a30df34f2a29a689600eff6a443410f26db36de910f8e1b96a39fc149bb72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.