Instructions to use anuragrawal/bart-large-cnn-YT-transcript-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anuragrawal/bart-large-cnn-YT-transcript-sum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anuragrawal/bart-large-cnn-YT-transcript-sum") model = AutoModelForSeq2SeqLM.from_pretrained("anuragrawal/bart-large-cnn-YT-transcript-sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd9fd5eb55a4e7f25e559684270da03b90d56f8f96f26aef58f39874c8443929
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size 1625423320
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