Instructions to use Joemgu/mlong-t5-base-sumstew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joemgu/mlong-t5-base-sumstew 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="Joemgu/mlong-t5-base-sumstew")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Joemgu/mlong-t5-base-sumstew") model = AutoModelForSeq2SeqLM.from_pretrained("Joemgu/mlong-t5-base-sumstew") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 760dd9f21b20793d491c19b861abf50ff328b110cf0fbd552a57e84ad24c4b8b
- Size of remote file:
- 4.09 kB
- SHA256:
- 8a8830f3011a7bb0d00fb70f8677b159269cd0b9f31d95fdbeb080a096365dfc
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