Summarization
Transformers
TensorFlow
English
bart
text2text-generation
generated_from_keras_callback
Instructions to use KostiuchenkoArtem/bart_large_multi_modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KostiuchenkoArtem/bart_large_multi_modified 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="KostiuchenkoArtem/bart_large_multi_modified")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KostiuchenkoArtem/bart_large_multi_modified") model = AutoModelForSeq2SeqLM.from_pretrained("KostiuchenkoArtem/bart_large_multi_modified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KostiuchenkoArtem/bart_large_multi_modified: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/KostiuchenkoArtem/bart_large_multi_modified/resolve/main/tokenizer.json
- Command line
-
hf download hf://KostiuchenkoArtem/bart_large_multi_modified/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KostiuchenkoArtem/bart_large_multi_modified/resolve/main/tokenizer.json
2.11 MB
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