Instructions to use el-profesor/bert_small_seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use el-profesor/bert_small_seq2seq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("el-profesor/bert_small_seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("el-profesor/bert_small_seq2seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from el-profesor/bert_small_seq2seq: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/el-profesor/bert_small_seq2seq/resolve/main/README.md
- Command line
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hf download hf://el-profesor/bert_small_seq2seq/README.md
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curl -L -o README.md https://huggingface.co/el-profesor/bert_small_seq2seq/resolve/main/README.md
28 Bytes
metadata
license: apache-2.0