Instructions to use SyedShaheer/SUMMARIZING_STRESSED_MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SyedShaheer/SUMMARIZING_STRESSED_MODEL 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="SyedShaheer/SUMMARIZING_STRESSED_MODEL")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SyedShaheer/SUMMARIZING_STRESSED_MODEL") model = AutoModelForSeq2SeqLM.from_pretrained("SyedShaheer/SUMMARIZING_STRESSED_MODEL") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md ba7fbcc
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Model save 2b2468d
Syed Shaheer Ali commited on