Instructions to use cnmoro/ptt5-base-ptbr-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cnmoro/ptt5-base-ptbr-summarization 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="cnmoro/ptt5-base-ptbr-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cnmoro/ptt5-base-ptbr-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("cnmoro/ptt5-base-ptbr-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88f03d99a80af480273a92cb625c319c25084f5d2d67b94ad250fa26026e8256
- Size of remote file:
- 756 kB
- SHA256:
- fcb25b1d67f04fce0e710d58430b606b4ee9887144fa2da22d123c44061cc62e
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