Instructions to use microsoft/ssr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/ssr-base 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="microsoft/ssr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/ssr-base") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/ssr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 286 Bytes
716ca30 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"early_stopping": true,
"eos_token_id": 1,
"length_penalty": 2.0,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_size": 3,
"num_beams": 4,
"pad_token_id": 0,
"transformers_version": "4.27.0.dev0"
}
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