Instructions to use somosnlp-hackathon-2023/DiagTrast-Berto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somosnlp-hackathon-2023/DiagTrast-Berto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="somosnlp-hackathon-2023/DiagTrast-Berto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("somosnlp-hackathon-2023/DiagTrast-Berto") model = AutoModelForSequenceClassification.from_pretrained("somosnlp-hackathon-2023/DiagTrast-Berto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3f2b9be79ef63520480eb1de8f0d21eaf984985638baa6ee4c0a959b4ffe923
- Size of remote file:
- 439 MB
- SHA256:
- f5aceb5d11179a2c83778b35022f33a93a0114b5cef0735fc0ea7cb139f09132
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