Text Classification
Transformers
PyTorch
Spanish
bert
financial-sentiment-analysis
sentiment-analysis
text-embeddings-inference
Instructions to use bardsai/finance-sentiment-es-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/finance-sentiment-es-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/finance-sentiment-es-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/finance-sentiment-es-base") model = AutoModelForSequenceClassification.from_pretrained("bardsai/finance-sentiment-es-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96710327e5a0193ddfedc184a69d24477cf75ebf36ce878b8c40971ccfd7165b
- Size of remote file:
- 439 MB
- SHA256:
- 6e9a7cb672c32c3cd4df8b0ea2539f1dd39eaf18c5475794c242ac671c0827d0
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