Summarization
Transformers
PyTorch
TensorFlow
Vietnamese
t5
text2text-generation
text-generation-inference
Instructions to use polieste/fastAbs_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polieste/fastAbs_large 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="polieste/fastAbs_large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("polieste/fastAbs_large") model = AutoModelForSeq2SeqLM.from_pretrained("polieste/fastAbs_large") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -24,7 +24,7 @@
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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-
"max_length":
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarization: "
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 512,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarization: "
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