Text Classification
Transformers
Safetensors
English
bert
financial-sentiment-analysis
sentiment-analysis
tariff
text-embeddings-inference
Instructions to use CristobalMe/TariffBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CristobalMe/TariffBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CristobalMe/TariffBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CristobalMe/TariffBERT") model = AutoModelForSequenceClassification.from_pretrained("CristobalMe/TariffBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature4af1b3e -
Update README.md
Verified signatureb6a876b -
Update README.md
Verified signature4117319 -
Update README.md
Verified signaturee5e1693 -
Add tokenizer
Verified signature4148914 -
Add fine-tuned FinBERT model
Verified signatureaad8c33 -
initial commit
Verified signatureb30252c