Instructions to use steve1989/da-sentiment-base-finetuned-phrasebank-finance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steve1989/da-sentiment-base-finetuned-phrasebank-finance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="steve1989/da-sentiment-base-finetuned-phrasebank-finance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("steve1989/da-sentiment-base-finetuned-phrasebank-finance") model = AutoModelForSequenceClassification.from_pretrained("steve1989/da-sentiment-base-finetuned-phrasebank-finance") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e3d44b68e819eceb43357df5b7830c56a445cd681586e0f4443237063c9dacd
- Size of remote file:
- 443 MB
- SHA256:
- 13fbab455f726a58f853dfed33fa33aae4ed44da431830d464f1614a29ef62c5
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