Text Classification
Transformers
Safetensors
bert
finBERT
sequence-classification
Generated from Trainer
text-embeddings-inference
Instructions to use hiudev/finBERT-phraseBank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiudev/finBERT-phraseBank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hiudev/finBERT-phraseBank")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hiudev/finBERT-phraseBank") model = AutoModelForSequenceClassification.from_pretrained("hiudev/finBERT-phraseBank") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7852ff303135ec3662e386413b90bdf84c9953a3cc65cf2c388768703f8b010e
- Size of remote file:
- 5.24 kB
- SHA256:
- d3779c9f68667120dafcb89c8508fd3a7abe68856ade3007efeda325edb8577a
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