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Model: ncoop57/bart-base-code-summarizer-java-v0
pytorch bart seq2seq lm-head summarization license:mit
summarization mask_token: <mask>
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ncoop57/bart-base-code-summarizer-java-v0 ncoop57/bart-base-code-summarizer-java-v0
155 downloads
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pytorch

tf

Contributed by

ncoop57 Nathan Cooper
3 models

How to use this model directly from the 🤗/transformers library: 

			
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			from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

			tokenizer = AutoTokenizer.from_pretrained("ncoop57/bart-base-code-summarizer-java-v0")
			
			model = AutoModelForSeq2SeqLM.from_pretrained("ncoop57/bart-base-code-summarizer-java-v0")
List all files in model · See raw config file
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ncoop57/bart-base-code-summarizer-java-v0

List of model files
File name Last modified File size
config.json Sat, 24 Oct 2020 01:08:06 GMT 1.2KB
config.json.old Mon, 05 Oct 2020 03:41:53 GMT 1.1KB
merges.txt Sat, 24 Oct 2020 01:08:07 GMT 445.6KB
pytorch_model.bin Sat, 24 Oct 2020 01:08:08 GMT 532.1MB
special_tokens_map.json Sat, 24 Oct 2020 01:08:16 GMT 772.0B
tokenizer_config.json Sat, 24 Oct 2020 01:08:15 GMT 966.0B
vocab.json Sat, 24 Oct 2020 01:08:07 GMT 877.8KB
Done