Instructions to use Erdeniz/fine_tuned_financial_analysis_intent_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erdeniz/fine_tuned_financial_analysis_intent_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Erdeniz/fine_tuned_financial_analysis_intent_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Erdeniz/fine_tuned_financial_analysis_intent_classification") model = AutoModelForSequenceClassification.from_pretrained("Erdeniz/fine_tuned_financial_analysis_intent_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4abd7c550586c7952a091b8b3d1e3e8e273621680819223d8114be54025c121
- Size of remote file:
- 17.1 MB
- SHA256:
- 66e2c4647474659095b757711e8aef0583d58dbb50e3349958ebc460a9cf4977
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