Instructions to use tranv/mt5-base-finetuned-sumeczech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tranv/mt5-base-finetuned-sumeczech 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="tranv/mt5-base-finetuned-sumeczech")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tranv/mt5-base-finetuned-sumeczech") model = AutoModelForSeq2SeqLM.from_pretrained("tranv/mt5-base-finetuned-sumeczech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b672a6c5129432bcbf425e42cd363a3072e48fee49f1becc39bc8039c49a397
- Size of remote file:
- 2.33 GB
- SHA256:
- e15d37318672472352ee0e27c3d629425e77762f60895d4b000a5d09d49524a0
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