Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Jiahao123/financial_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiahao123/financial_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jiahao123/financial_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jiahao123/financial_classifier") model = AutoModelForSequenceClassification.from_pretrained("Jiahao123/financial_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b85d1a10aad328fb4371dda05f7fe951bab0108c9ff932fb1aa6446288da763e
- Size of remote file:
- 5.3 kB
- SHA256:
- c3fab962a14726ca38f07057f04e25c1df9b8921c0384cc91ead6e29ebc16292
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