Instructions to use morenolq/SumTO_FNS2020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morenolq/SumTO_FNS2020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="morenolq/SumTO_FNS2020")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morenolq/SumTO_FNS2020") model = AutoModelForSequenceClassification.from_pretrained("morenolq/SumTO_FNS2020") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ca153b79eb0e9e8e7164ddc71dd73ebb352ec424e6886d4c7e87cd96f0f9477
- Size of remote file:
- 433 MB
- SHA256:
- f846795e2dc8525c194f6329a969d27a6502e4142b65779e4b6c3be92e9f5935
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