Summarization
Transformers
Safetensors
English
t5
text2text-generation
youtube
comments
text-generation-inference
Instructions to use Sivakkanth/youtube_comments_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sivakkanth/youtube_comments_summarizer 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="Sivakkanth/youtube_comments_summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Sivakkanth/youtube_comments_summarizer") model = AutoModelForMultimodalLM.from_pretrained("Sivakkanth/youtube_comments_summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 540df3a6fb717acdd1f212a25aafe85df2ce3845802aa7c7b89aee9542096639
- Size of remote file:
- 892 MB
- SHA256:
- 89af5409d32b003b9f245414bdc901f3c1f616f6ebc4478a4a3ad3cc2099c21f
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