Text Classification
Transformers
Safetensors
English
Thai
xlm-roberta
sentiment-analysis
financial-sentiment
multilingual
transformer
fine-tuned
1.0.0
text-embeddings-inference
Instructions to use ZombitX64/Fin-E5-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZombitX64/Fin-E5-pro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZombitX64/Fin-E5-pro")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZombitX64/Fin-E5-pro") model = AutoModelForSequenceClassification.from_pretrained("ZombitX64/Fin-E5-pro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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